diff --git a/paddle/fluid/inference/analysis/ir_passes/tensorrt_subgraph_pass.cc b/paddle/fluid/inference/analysis/ir_passes/tensorrt_subgraph_pass.cc
index 75111701f1f388d81d273fdc14847ead6772e581..8a14e168ca4f7ebce3f7fb619655121da38c7581 100644
--- a/paddle/fluid/inference/analysis/ir_passes/tensorrt_subgraph_pass.cc
+++ b/paddle/fluid/inference/analysis/ir_passes/tensorrt_subgraph_pass.cc
@@ -83,16 +83,29 @@ void analysis::TensorRtSubgraphPass::ApplyImpl(
 
 std::string GenerateEngineKey(const std::set<std::string> &engine_inputs,
                               const std::set<std::string> &engine_outputs,
-                              const std::string &predictor_id) {
+                              const std::string &predictor_id,
+                              const std::string &max_batch_size,
+                              const std::string &precision,
+                              const std::string &use_calib_mode) {
   std::string engine_hash_key = "";
   for (auto name : engine_inputs) {
     engine_hash_key += name;
+    engine_hash_key += "#";
   }
   for (auto name : engine_outputs) {
     engine_hash_key += name;
+    engine_hash_key += "#";
   }
   engine_hash_key += predictor_id;
+  engine_hash_key += "#";
+  engine_hash_key += max_batch_size;
+  engine_hash_key += "#";
+  engine_hash_key += precision;
+  engine_hash_key += "#";
+  engine_hash_key += use_calib_mode;
   auto engine_key = std::to_string(std::hash<std::string>()(engine_hash_key));
+  VLOG(2) << "TRT engine hash key: " << engine_hash_key;
+  VLOG(2) << "TRT engine key: " << engine_key;
   return engine_key;
 }
 
@@ -245,8 +258,11 @@ void TensorRtSubgraphPass::CreateTensorRTOp(
   // TODO(NHZlX)
   // There are models with the same structure but the different parameters,
   // when running in the 'use_serialize' mode, there is a bug.
-  auto engine_key = GenerateEngineKey(input_names_with_id, output_names_with_id,
-                                      std::to_string(0));
+  auto engine_key = GenerateEngineKey(
+      input_names_with_id, output_names_with_id, std::to_string(0),
+      std::to_string(Get<int>("max_batch_size")),
+      std::to_string(static_cast<int>(precision_mode)),
+      std::to_string(static_cast<int>(use_calib_mode)));
   auto predictor_id = Get<int>("predictor_id");
 
   // Get "" when there is no cached calibration table data.
@@ -359,6 +375,9 @@ void TensorRtSubgraphPass::CreateTensorRTOp(
         GetTrtEngineSerializedPath(Get<std::string>("model_opt_cache_dir"),
                                    engine_key),
         trt_engine_serialized_data);
+    LOG(INFO) << "Save TRT Optimized Info to "
+              << GetTrtEngineSerializedPath(
+                     Get<std::string>("model_opt_cache_dir"), engine_key);
   }
 }