diff --git a/tf_adapter/kernels/aicore/fast_gelu_v2_ops.cc b/tf_adapter/kernels/aicore/fast_gelu_v2_ops.cc
index 5d92e710d9a7ca5ca2d380a09bf625c837a1f923..0078cd6698f1e03c04a778e530fd5bc6ac3fdba4 100644
--- a/tf_adapter/kernels/aicore/fast_gelu_v2_ops.cc
+++ b/tf_adapter/kernels/aicore/fast_gelu_v2_ops.cc
@@ -23,7 +23,7 @@ class FastGeluV2Op : public OpKernel {
   explicit FastGeluV2Op(OpKernelConstruction *context) : OpKernel(context) {
     LOG(INFO) << "new FastGeluV2Op";
   }
-  ~FastGeluV2Op() = default;
+  ~FastGeluV2Op() override = default;
   void Compute(OpKernelContext *context) override {
     (void) context;
     LOG(INFO) << "FastGeluV2Op Compute";
diff --git a/tf_adapter/kernels/geop_npu.cc b/tf_adapter/kernels/geop_npu.cc
index 58726faf56d759ec926fcf2fe9ffe5a8a9d2d740..883d07bd34c9c06f569a8cd43fa7b8884c83143f 100644
--- a/tf_adapter/kernels/geop_npu.cc
+++ b/tf_adapter/kernels/geop_npu.cc
@@ -91,7 +91,6 @@ Status FunctionalizeControlFlow(Graph *graph, FunctionLibraryDefinition *library
 #endif
 namespace {
 const std::string ATTR_NAME_CONST_INPUT_NAME = "_const_input";
-const std::string kMdatTuning = "mdat";
 const std::string kAutoRecompute = "auto";
 const std::string kTotalStep = "TOTAL_STEP";
 const std::string kStepNow = "STEP_NOW";
@@ -2091,9 +2090,8 @@ int GeOp::RunTuning(std::vector<Tensor> &input_vec, std::vector<ge::Tensor> &inp
   graph_options_["ge.graphLevelSat"] = (mix_compile_mode_ == "0") ? "1" : "0";
 
   // run aoe tuning
-  bool is_mdat_tuning = (init_options_["ge.jobType"] == kMdatTuning) && (recompute_mode_ == kAutoRecompute);
   if ((init_options_["ge.jobType"] == "1") || (init_options_["ge.jobType"] == "2") ||
-      ((init_options_["ge.jobType"] == "4") && is_allreduce) || is_mdat_tuning) {
+      ((init_options_["ge.jobType"] == "4") && is_allreduce)) {
     std::function<void()> callback = [this]() {
       if (aoe_destroy_session_ != nullptr) {
         AoeStatus aoe_destroy_ret = (*aoe_destroy_session_)(session_id_);
diff --git a/tf_adapter/python/npu_bridge/estimator/npu/util.py b/tf_adapter/python/npu_bridge/estimator/npu/util.py
index b59752d7c990becd0ba547438c5458dbbeda1d81..30aadca790e7a2e78cb63ae4e4e3b09a927b0d68 100644
--- a/tf_adapter/python/npu_bridge/estimator/npu/util.py
+++ b/tf_adapter/python/npu_bridge/estimator/npu/util.py
@@ -154,11 +154,11 @@ def check_aoe_mode(aoe_mode):
     Return:
         aoe_mode
     Raise:
-        If aoe_mode is null or not in ['1', '2', '4', 'mdat'].
+        If aoe_mode is null or not in ['1', '2', '4'].
     """
-    aoe_modes = ['1', '2', '4', 'mdat']
+    aoe_modes = ['1', '2', '4']
     if aoe_mode not in aoe_modes:
-        raise ValueError("aoe_mode:%s is invalid, should be in ['1', '2', '4', 'mdat']" % (aoe_mode))
+        raise ValueError("aoe_mode:%s is invalid, should be in ['1', '2', '4']" % (aoe_mode))
 
 
 def register_func(var_name):
diff --git a/tf_adapter/util/npu_attrs.cc b/tf_adapter/util/npu_attrs.cc
index 4044dda8d5b0d7e09c6e371f54f226d3ce906a22..1d619cd595cbb5ce62f398ba62d97440213c419c 100644
--- a/tf_adapter/util/npu_attrs.cc
+++ b/tf_adapter/util/npu_attrs.cc
@@ -330,13 +330,13 @@ Status CheckVariablePlacement(const std::string &variable_placement) {
 }
 
 inline Status CheckAoeMode(const std::string &aoe_mode) {
-  std::set<string> aoe_mode_list = {"1", "2", "4", "mdat"};
+  std::set<string> aoe_mode_list = {"1", "2", "4"};
 
   if (aoe_mode_list.find(aoe_mode) != aoe_mode_list.end()) {
     return Status::OK();
   } else {
     return errors::InvalidArgument("aoe mode:", aoe_mode.c_str(),
-                                   " is invalid, aoe mode should be one of the list:['1', '2', '4', 'mdat']");
+                                   " is invalid, aoe mode should be one of the list:['1', '2', '4']");
   }
 }