diff --git a/paddle/fluid/inference/tensorrt/convert/pool2d_op.cc b/paddle/fluid/inference/tensorrt/convert/pool2d_op.cc
index 303130e74f512abe041fd14a8bcbaea9400fa902..ca5a1a77bd0e8ee8f35fecc838ad303601661d91 100644
--- a/paddle/fluid/inference/tensorrt/convert/pool2d_op.cc
+++ b/paddle/fluid/inference/tensorrt/convert/pool2d_op.cc
@@ -97,13 +97,17 @@ class Pool2dOpConverter : public OpConverter {
       adaptive = BOOST_GET_CONST(bool, op_desc.GetAttr("adaptive"));
 
     nvinfer1::PoolingType nv_pool_type = nvinfer1::PoolingType::kMAX;
+    nvinfer1::ReduceOperation reduce_operation =
+        nvinfer1::ReduceOperation::kMAX;
     plugin::PoolPlugin::PoolType plugin_pool_type =
         plugin::PoolPlugin::PoolType::max;
     if (pool_type == "max") {
       nv_pool_type = nvinfer1::PoolingType::kMAX;
+      reduce_operation = nvinfer1::ReduceOperation::kMAX;
       plugin_pool_type = plugin::PoolPlugin::PoolType::max;
     } else if (pool_type == "avg") {
       nv_pool_type = nvinfer1::PoolingType::kAVERAGE;
+      reduce_operation = nvinfer1::ReduceOperation::kAVG;
       plugin_pool_type = plugin::PoolPlugin::PoolType::avg;
     } else {
       PADDLE_THROW(platform::errors::Fatal(
@@ -126,12 +130,17 @@ class Pool2dOpConverter : public OpConverter {
     }
 
     if (engine_->with_dynamic_shape()) {
-      if (!adaptive && pool_type == "max" && !global_pooling && !ceil_mode) {
+      if (!adaptive && !global_pooling && !ceil_mode) {
         auto *pool_layer = TRT_ENGINE_ADD_LAYER(engine_, Pooling, *input1,
                                                 nv_pool_type, nv_ksize);
         pool_layer->setStride(nv_strides);
         pool_layer->setPadding(nv_paddings);
+        pool_layer->setAverageCountExcludesPadding(exclusive);
         layer = pool_layer;
+      } else if (global_pooling) {
+        auto *reduce_layer = TRT_ENGINE_ADD_LAYER(engine_, Reduce, *input1,
+                                                  reduce_operation, 12, true);
+        layer = reduce_layer;
       } else {
 #if IS_TRT_VERSION_GE(6000)
         plugin::PoolPluginDynamic *plugin =
@@ -153,16 +162,20 @@ class Pool2dOpConverter : public OpConverter {
     if (global_pooling == true) {
       nv_ksize.d[0] = input_shape.d[input_dims - 2];
       nv_ksize.d[1] = input_shape.d[input_dims - 1];
-      auto *layer = TRT_ENGINE_ADD_LAYER(
+      auto *pool_layer = TRT_ENGINE_ADD_LAYER(
           engine_, Pooling, *const_cast<nvinfer1::ITensor *>(input1),
           nv_pool_type, nv_ksize);
       PADDLE_ENFORCE_NOT_NULL(
-          layer, platform::errors::Fatal(
-                     "trt pool layer in converter could not be created."));
+          pool_layer, platform::errors::Fatal(
+                          "trt pool layer in converter could not be created."));
       auto output_name = op_desc.Output("Out")[0];
-      layer->setName(("pool2d (Output: " + output_name + ")").c_str());
-      layer->getOutput(0)->setName(output_name.c_str());
-      engine_->SetITensor(output_name, layer->getOutput(0));
+      pool_layer->setStride(nv_strides);
+      pool_layer->setPadding(nv_paddings);
+      pool_layer->setAverageCountExcludesPadding(exclusive);
+      pool_layer->setName(("pool2d (Output: " + output_name + ")").c_str());
+      pool_layer->getOutput(0)->setName(output_name.c_str());
+      engine_->SetITensor(output_name, pool_layer->getOutput(0));
+      layer = pool_layer;
       if (test_mode) {
         engine_->DeclareOutput(output_name);
       }
diff --git a/paddle/fluid/platform/dynload/tensorrt.cc b/paddle/fluid/platform/dynload/tensorrt.cc
index 6232a6e33cac453af92ffec26c94729e58b3904e..e72fbd246cf05ddc4f8e9455ba9c579835faa5bd 100644
--- a/paddle/fluid/platform/dynload/tensorrt.cc
+++ b/paddle/fluid/platform/dynload/tensorrt.cc
@@ -42,7 +42,7 @@ void* GetDsoHandle(const std::string& dso_name) {
   if (nullptr == dso_handle) {
     auto error_msg =
         "You are using Paddle compiled with TensorRT, but TensorRT dynamic "
-        "library is not found. Ignore this if TensorRT is not needed.";
+        "library is not found. Ignore this if TensorRT is not needed.\n";
     std::cerr << error_msg;
   }
   return dso_handle;