diff --git a/runtime/executor/litert_compiled_model_executor_utils.cc b/runtime/executor/litert_compiled_model_executor_utils.cc
index b1e4d897..a3bb3c59 100644
--- a/runtime/executor/litert_compiled_model_executor_utils.cc
+++ b/runtime/executor/litert_compiled_model_executor_utils.cc
@@ -310,8 +310,7 @@ GetOptimizedPrefillWorkGroups(
   return work_groups;
 }
 
-absl::Status InitializeAttentionMask(litert::TensorBuffer& mask,
-                                     bool is_f16) {
+absl::Status InitializeAttentionMask(litert::TensorBuffer& mask, bool is_f16) {
   auto mask_size = mask.PackedSize();
   RET_CHECK(mask_size) << "Failed to get attention mask buffer size.";
   auto mask_tensor_type = mask.TensorType();
diff --git a/runtime/executor/magic_number_configs_helper.cc b/runtime/executor/magic_number_configs_helper.cc
index 7f5ae348..5646cd19 100644
--- a/runtime/executor/magic_number_configs_helper.cc
+++ b/runtime/executor/magic_number_configs_helper.cc
@@ -51,8 +51,8 @@ constexpr absl::string_view kInputPosSubstr = "pos";
 constexpr absl::string_view kOutputLogitsSubstr = "logits";
 constexpr int64_t kDefaultTargetNumberBase = 256;
 
-Expected<int64_t> GetLastDimensionOfInput(const Subgraph& subgraph,
-                                          absl::string_view input_name) {
+    Expected<int64_t> GetLastDimensionOfInput(const Subgraph& subgraph,
+    absl::string_view input_name) {
   LITERT_ASSIGN_OR_RETURN(auto tensor, subgraph.Input(input_name));
   LITERT_ASSIGN_OR_RETURN(auto type, tensor.RankedTensorType());
   return type.Layout().Dimensions()[type.Layout().Rank() - 1];
@@ -82,9 +82,8 @@ bool IsMagicNumber(int64_t number) {
   return true;
 }
 
-Expected<void> SetMagicNumberIfPrime(const Subgraph& subgraph,
-                                     absl::string_view tensor_name, bool input,
-                                     int64_t& magic_number) {
+    Expected<void> SetMagicNumberIfPrime(const Subgraph& subgraph,
+    absl::string_view tensor_name, bool input, int64_t& magic_number) {
   auto expected_dim = input ? GetLastDimensionOfInput(subgraph, tensor_name)
                             : GetFirstDimensionOfOutput(subgraph, tensor_name);
   LITERT_ASSIGN_OR_RETURN(auto dim, expected_dim);
@@ -106,17 +105,17 @@ Expected<MagicNumbers> GetMagicNumbersFromModel(const Model& litert_model) {
   for (int i = 0; i < num_signatures; ++i) {
     LITERT_ASSIGN_OR_RETURN(auto signature, litert_model.GetSignature(i));
     LITERT_ASSIGN_OR_RETURN(auto subgraph,
-                            litert_model.Subgraph(signature.Key()));
+                                litert_model.Subgraph(signature.Key()));
     if (signature.Key().starts_with(kPrefillSignaturePrefix)) {
       for (const auto& input_name : signature.InputNames()) {
         if (absl::StrContains(input_name, kMaskSubstr)) {
-          LITERT_RETURN_IF_ERROR(
-              SetMagicNumberIfPrime(subgraph, input_name, /*input=*/true,
-                                    magic_numbers.context_length));
+          LITERT_RETURN_IF_ERROR(SetMagicNumberIfPrime(
+              subgraph, input_name, true,
+              magic_numbers.context_length));
         } else if (absl::StrContains(input_name, kInputPosSubstr)) {
           int64_t prefill_length = 0;
-          LITERT_RETURN_IF_ERROR(SetMagicNumberIfPrime(
-              subgraph, input_name, /*input=*/true, prefill_length));
+          LITERT_RETURN_IF_ERROR(
+          SetMagicNumberIfPrime(subgraph, input_name, true, prefill_length));
           if (prefill_length > 0) {
             magic_numbers.prefill_lengths.push_back(prefill_length);
           }
@@ -125,16 +124,22 @@ Expected<MagicNumbers> GetMagicNumbersFromModel(const Model& litert_model) {
     } else if (signature.Key().starts_with(kDecodeSignaturePrefix)) {
       for (const auto& input_name : signature.InputNames()) {
         if (absl::StrContains(input_name, kMaskSubstr)) {
-          LITERT_RETURN_IF_ERROR(
-              SetMagicNumberIfPrime(subgraph, input_name, /*input=*/true,
-                                    magic_numbers.context_length));
+          LITERT_RETURN_IF_ERROR(SetMagicNumberIfPrime(
+              subgraph, input_name, true,
+              magic_numbers.context_length));
+          LITERT_RETURN_IF_ERROR(SetMagicNumberIfPrime(
+              subgraph
+              ,
+              input_name, /*input=*/true, magic_numbers.context_length));
         }
       }
       for (const auto& output_name : signature.OutputNames()) {
         if (absl::StrContains(output_name, kOutputLogitsSubstr)) {
-          LITERT_RETURN_IF_ERROR(
-              SetMagicNumberIfPrime(subgraph, output_name, /*input=*/false,
-                                    magic_numbers.num_output_candidates));
+          LITERT_RETURN_IF_ERROR(SetMagicNumberIfPrime(
+              subgraph
+              ,
+              output_name, /*input=*/false,
+              magic_numbers.num_output_candidates));
         }
       }
     }
@@ -158,8 +163,8 @@ GetVerificationPairs(const Model& litert_model,
       continue;
     }
 
-    LITERT_ASSIGN_OR_RETURN(auto subgraph,
-                            litert_model.Subgraph(signature.Key()));
+        LITERT_ASSIGN_OR_RETURN(auto subgraph,
+                                litert_model.Subgraph(signature.Key()));
     for (int j = 0; j < num_signatures; ++j) {
       LITERT_ASSIGN_OR_RETURN(auto test_signature,
                               litert_model.GetSignature(j));
@@ -169,16 +174,18 @@ GetVerificationPairs(const Model& litert_model,
       }
 
       LITERT_ASSIGN_OR_RETURN(auto test_subgraph,
-                              litert_model.Subgraph(test_signature.Key()));
+                                litert_model.Subgraph(test_signature.Key()));
+
       bool is_same_shape = true;
       for (const auto& input_name : signature.InputNames()) {
         if (absl::StrContains(input_name, kMaskSubstr) ||
             absl::StrContains(input_name, kInputPosSubstr)) {
           LITERT_ASSIGN_OR_RETURN(
-              auto dim, GetLastDimensionOfInput(subgraph, input_name));
+              auto dim,
+          GetLastDimensionOfInput(subgraph, input_name));
           LITERT_ASSIGN_OR_RETURN(
               auto test_dim,
-              GetLastDimensionOfInput(test_subgraph, input_name));
+          GetLastDimensionOfInput(test_subgraph, input_name));
           // Check if dim is same as test_dim, or as a magic number when
           // test_dim is target number corresponding to the magic number.
           // Otherwise, the shapes are not same.