diff --git a/core/runtime/TRTEngine.cpp b/core/runtime/TRTEngine.cpp
index 313209ba5a..e98d4681eb 100644
--- a/core/runtime/TRTEngine.cpp
+++ b/core/runtime/TRTEngine.cpp
@@ -118,9 +118,11 @@ TRTEngine::TRTEngine(
       TORCHTRT_CHECK(
           (cuda_engine->getTensorIOMode(binding_name.c_str()) == nvinfer1::TensorIOMode::kINPUT),
           "Binding " << binding_name << " specified as input but found as output in TensorRT engine");
-      LOG_DEBUG("Input binding name: " << binding_name << "pyt arg idx: " << pyt_idx << ")");
+      LOG_DEBUG(
+          "Input binding name: " << binding_name << " has TensorRT binding index: " << trt_idx
+                                 << ", Torch binding index: " << pyt_idx);
       in_binding_map[trt_idx] = pyt_idx;
-      in_binding_names[pyt_idx] = _in_binding_names[pyt_idx];
+      in_binding_names[pyt_idx] = binding_name;
     }
 
     uint64_t outputs = _out_binding_names.size();
@@ -210,19 +212,21 @@ std::string TRTEngine::to_str() const {
   ss << "  Inputs: [" << std::endl;
   for (uint64_t i = 0; i < num_io.first; i++) {
     ss << "    id: " << i << std::endl;
-    ss << "      shape: " << exec_ctx->getTensorShape(std::string("input_" + str(i)).c_str()) << std::endl;
+    ss << "      name: " << in_binding_names[i].c_str() << std::endl;
+    ss << "      shape: " << exec_ctx->getTensorShape(in_binding_names[i].c_str()) << std::endl;
     ss << "      dtype: "
-       << util::TRTDataTypeToScalarType(exec_ctx->getEngine().getTensorDataType(std::string("input_" + str(i)).c_str()))
+       << util::TRTDataTypeToScalarType(exec_ctx->getEngine().getTensorDataType(in_binding_names[i].c_str()))
        << std::endl;
   }
   ss << "  ]" << std::endl;
   ss << "  Outputs: [" << std::endl;
   for (uint64_t o = 0; o < num_io.second; o++) {
     ss << "    id: " << o << std::endl;
-    ss << "      shape: " << exec_ctx->getTensorShape(std::string("output_" + str(o)).c_str()) << std::endl;
+    ss << "      name: " << out_binding_names[o].c_str() << std::endl;
+    ss << "      shape: " << exec_ctx->getTensorShape(out_binding_names[o].c_str()) << std::endl;
     ss << "      dtype: "
        << util::TRTDataTypeToScalarType(
-              exec_ctx->getEngine().getTensorDataType(std::string("output_" + str(o)).c_str()))
+              exec_ctx->getEngine().getTensorDataType(out_binding_names[o].c_str()))
        << std::endl;
   }
   ss << "  }" << std::endl;