diff --git a/.gitmodules b/.gitmodules
index 193f1dda73..986e2538a0 100644
--- a/.gitmodules
+++ b/.gitmodules
@@ -61,5 +61,4 @@
 	url = https://github.com/google/libprotobuf-mutator.git
 [submodule "cmake/external/onnx-tensorrt"]
 	path = cmake/external/onnx-tensorrt
-	url = https://github.com/stevenlix/onnx-tensorrt.git
-	branch = trt71
+	url = https://github.com/onnx/onnx-tensorrt.git
diff --git a/cmake/external/onnx-tensorrt b/cmake/external/onnx-tensorrt
index 9d962f4510..088554a5fb 160000
--- a/cmake/external/onnx-tensorrt
+++ b/cmake/external/onnx-tensorrt
@@ -1 +1 @@
-Subproject commit 9d962f4510102e296944b9be046047a953be0ee1
+Subproject commit 088554a5fbee9ba183c05c09c1abe986034e9208
diff --git a/cmake/onnxruntime_providers.cmake b/cmake/onnxruntime_providers.cmake
index 7ff17f4611..9172f8851a 100644
--- a/cmake/onnxruntime_providers.cmake
+++ b/cmake/onnxruntime_providers.cmake
@@ -422,6 +422,7 @@ if (onnxruntime_USE_TENSORRT)
     set_property(TARGET onnxruntime_providers_tensorrt APPEND_STRING PROPERTY LINK_FLAGS "-Xlinker -exported_symbols_list ${ONNXRUNTIME_ROOT}/core/providers/tensorrt/exported_symbols.lst")
     target_link_libraries(onnxruntime_providers_tensorrt PRIVATE nsync_cpp)
   elseif(UNIX)
+    set_property(TARGET onnxruntime_providers_tensorrt APPEND_STRING PROPERTY COMPILE_FLAGS "-Wno-deprecated-declarations")  
     set_property(TARGET onnxruntime_providers_tensorrt APPEND_STRING PROPERTY LINK_FLAGS "-Xlinker --version-script=${ONNXRUNTIME_ROOT}/core/providers/tensorrt/version_script.lds -Xlinker --gc-sections")
     target_link_libraries(onnxruntime_providers_tensorrt PRIVATE nsync_cpp stdc++fs)
   elseif(WIN32)
diff --git a/onnxruntime/core/providers/tensorrt/tensorrt_execution_provider.cc b/onnxruntime/core/providers/tensorrt/tensorrt_execution_provider.cc
index 753e3039bc..f9f25308be 100644
--- a/onnxruntime/core/providers/tensorrt/tensorrt_execution_provider.cc
+++ b/onnxruntime/core/providers/tensorrt/tensorrt_execution_provider.cc
@@ -272,7 +272,7 @@ bool FindCycleHelper(int i, const std::list<int>* adjacency_map,
 }
 
 std::unique_ptr<Provider_IndexedSubGraph> TensorrtExecutionProvider::GetSubGraph(SubGraph_t graph_nodes_index, int& kernels_index, const onnxruntime::Provider_GraphViewer& graph) const {
-    const std::vector<NodeIndex>& node_index = graph.GetNodesInTopologicalOrder();
+  const std::vector<NodeIndex>& node_index = graph.GetNodesInTopologicalOrder();
   std::unordered_set<size_t> node_set;
   node_set.reserve(graph_nodes_index.first.size());
   for (const auto& index : graph_nodes_index.first) {
@@ -915,11 +915,11 @@ common::Status TensorrtExecutionProvider::Provider_Compile(const std::vector<onn
             // Get shape values for shape tensor input
             const auto& tensor_type = ort.GetTensorElementType(tensor_info);
             int shape_size = nb_dims == 0 ? 1 : tensor_shapes[0];
-            tensor_shape_values[input_name].reserve(shape_size);
+            tensor_shape_values[input_name].resize(shape_size);
             switch (tensor_type) {
               case ONNX_TENSOR_ELEMENT_DATA_TYPE_INT32: {
                 int32_t* input = new int32_t[shape_size];
-                cudaMemcpy(input, ort.GetTensorData<int32_t>(input_tensor), shape_size * sizeof(int32_t), cudaMemcpyDeviceToHost);
+                CUDA_RETURN_IF_ERROR(cudaMemcpy(input, ort.GetTensorData<int32_t>(input_tensor), shape_size * sizeof(int32_t), cudaMemcpyDeviceToHost));
                 for (int j = 0; j < shape_size; ++j) {
                   tensor_shape_values[input_name][j] = input[j];
                 }
@@ -928,7 +928,7 @@ common::Status TensorrtExecutionProvider::Provider_Compile(const std::vector<onn
               }
               case ONNX_TENSOR_ELEMENT_DATA_TYPE_INT64: {
                 int64_t* input = new int64_t[shape_size];
-                cudaMemcpy(input, ort.GetTensorData<int64_t>(input_tensor), shape_size * sizeof(int64_t), cudaMemcpyDeviceToHost);
+                CUDA_RETURN_IF_ERROR(cudaMemcpy(input, ort.GetTensorData<int64_t>(input_tensor), shape_size * sizeof(int64_t), cudaMemcpyDeviceToHost));
                 for (int j = 0; j < shape_size; ++j) {
                   tensor_shape_values[input_name][j] = static_cast<int32_t>(input[j]);
                 }
@@ -1333,4 +1333,4 @@ common::Status TensorrtExecutionProvider::Provider_Compile(const std::vector<onn
 
   return Status::OK();
 }
-}  // namespace onnxruntime
+}  // namespace onnxruntime
\ No newline at end of file