diff --git a/api/ccapi/include/layer.h b/api/ccapi/include/layer.h
index 3aa6150af6..9eb884a88a 100644
--- a/api/ccapi/include/layer.h
+++ b/api/ccapi/include/layer.h
@@ -108,8 +108,8 @@ enum LayerType {
   LAYER_UPSAMPLE2D,               /**< Upsample 2D Layer type */
   LAYER_RMSNORM = ML_TRAIN_LAYER_TYPE_RMSNORM,     /**<RMS NORM Layer */
   LAYER_TRANSPOSE = ML_TRAIN_LAYER_TYPE_TRANSPOSE, /**< Transpose Layer type */
-  LAYER_UNKNOWN = ML_TRAIN_LAYER_TYPE_UNKNOWN      /**< Unknown */
-  LAYER_LM_HEAD = ML_TRAIN_LAYER_TYPE_LM_HEAD, /**< LM Head Layer */
+  LAYER_UNKNOWN = ML_TRAIN_LAYER_TYPE_UNKNOWN,     /**< Unknown */
+  LAYER_LM_HEAD = ML_TRAIN_LAYER_TYPE_LM_HEAD,     /**< LM Head Layer */
 };
 
 /**
diff --git a/api/nntrainer-api-common.h b/api/nntrainer-api-common.h
index c708b83acc..7995b720f5 100644
--- a/api/nntrainer-api-common.h
+++ b/api/nntrainer-api-common.h
@@ -62,15 +62,15 @@ typedef enum {
     27, /**< Layer Normalization Layer type (Since 7.0) */
   ML_TRAIN_LAYER_TYPE_POSITIONAL_ENCODING =
     28, /**< Positional Encoding Layer type (Since 7.0) */
-  ML_TRAIN_LAYER_TYPE_IDENTITY = 29, /**< Identity Layer type (Since 8.0) */
-  ML_TRAIN_LAYER_TYPE_SWIGLU = 30,   /**< Swiglu Layer type */
-  ML_TRAIN_LAYER_TYPE_WEIGHT = 31,   /**< Weight Layer type (Since 9.0)*/
-  ML_TRAIN_LAYER_TYPE_ADD = 32,      /**< Add Layer type (Since 9.0)*/
-  ML_TRAIN_LAYER_TYPE_SUBTRACT = 33, /**< Subtract Layer type (Since 9.0)*/
-  ML_TRAIN_LAYER_TYPE_MULTIPLY = 34, /**< Multiply Layer type (Since 9.0)*/
-  ML_TRAIN_LAYER_TYPE_DIVIDE = 35,   /**< Divide Layer type (Since 9.0)*/
+  ML_TRAIN_LAYER_TYPE_IDENTITY = 29,  /**< Identity Layer type (Since 8.0) */
+  ML_TRAIN_LAYER_TYPE_SWIGLU = 30,    /**< Swiglu Layer type */
+  ML_TRAIN_LAYER_TYPE_WEIGHT = 31,    /**< Weight Layer type (Since 9.0)*/
+  ML_TRAIN_LAYER_TYPE_ADD = 32,       /**< Add Layer type (Since 9.0)*/
+  ML_TRAIN_LAYER_TYPE_SUBTRACT = 33,  /**< Subtract Layer type (Since 9.0)*/
+  ML_TRAIN_LAYER_TYPE_MULTIPLY = 34,  /**< Multiply Layer type (Since 9.0)*/
+  ML_TRAIN_LAYER_TYPE_DIVIDE = 35,    /**< Divide Layer type (Since 9.0)*/
   ML_TRAIN_LAYER_TYPE_TRANSPOSE = 36, /**< Transpose Layer type */
-  ML_TRAIN_LAYER_TYPE_LM_HEAD = 37,  /**< LM Head Layer type */
+  ML_TRAIN_LAYER_TYPE_LM_HEAD = 37,   /**< LM Head Layer type */
   ML_TRAIN_LAYER_TYPE_PREPROCESS_FLIP =
     300, /**< Preprocess flip Layer (Since 6.5) */
   ML_TRAIN_LAYER_TYPE_PREPROCESS_TRANSLATE =
diff --git a/nntrainer/cl_context.cpp b/nntrainer/cl_context.cpp
index 18c06cd90a..05c85ffbba 100644
--- a/nntrainer/cl_context.cpp
+++ b/nntrainer/cl_context.cpp
@@ -58,7 +58,7 @@ static void add_default_object(ClContext &cc) {
   cc.registerFactory(nntrainer::createLayer<TransposeLayerCl>,
                      TransposeLayerCl::type,
                      ml::train::LayerType::LAYER_TRANSPOSE);
-                     
+
   cc.registerFactory(nntrainer::createLayer<CustomLMHeadLayerCl>,
                      CustomLMHeadLayerCl::type,
                      ml::train::LayerType::LAYER_LM_HEAD);
diff --git a/nntrainer/layers/cl_layers/addition_layer_cl.h b/nntrainer/layers/cl_layers/addition_layer_cl.h
index e5ad7c91cf..a2b8f55f67 100644
--- a/nntrainer/layers/cl_layers/addition_layer_cl.h
+++ b/nntrainer/layers/cl_layers/addition_layer_cl.h
@@ -35,7 +35,7 @@ class AdditionLayerCL : public Layer {
   /**
    * @brief     Destructor of Addition Layer
    */
-  ~AdditionLayerCL() {};
+  ~AdditionLayerCL(){};
 
   /**
    *  @brief  Move constructor of AdditionLayer.
diff --git a/nntrainer/layers/cl_layers/custom_vocab_selection.cpp b/nntrainer/layers/cl_layers/custom_vocab_selection.cpp
index 4b25bebb74..171942be99 100644
--- a/nntrainer/layers/cl_layers/custom_vocab_selection.cpp
+++ b/nntrainer/layers/cl_layers/custom_vocab_selection.cpp
@@ -32,21 +32,6 @@ nntrainer::VocabSelectionNNTrainer::VocabSelectionNNTrainer(
   this->lshBits = lshBlockNum * lshBlockSize;
   this->lshData = std::vector<lshDataBlock>(this->vocabCnt * lshBlockNum);
 
-  // for (unsigned int i = 0; i < vocabCnt; ++i) {
-  //     for (unsigned int j = 0; j < lshBlockNum; ++j) {
-  //         unsigned int actualSize = std::min(lshBlockSize, hiddenSize -
-  //         (int)j * lshBlockSize); lshDataBlock d; for (unsigned int k = 0; k
-  //         < actualSize; ++k) {
-  //             d[k] = weights.getValue<_FP16>(0, 0, i, j * lshBlockSize + k) >
-  //             0 ? 1 : 0;
-  //         }
-  //         for (unsigned int k = actualSize; k < lshBlockSize; ++k) {
-  //             d[k] = 0;
-  //         }
-  //         this->lshData[i * lshBlockNum + j] = d;
-  //     }
-  // }
-
   for (unsigned int i = 0; i < lshBlockNum; ++i) {
     unsigned int actualSize =
       std::min(lshBlockSize, hiddenSize - (int)i * lshBlockSize);
diff --git a/nntrainer/layers/cl_layers/custom_vocab_selection.h b/nntrainer/layers/cl_layers/custom_vocab_selection.h
index af3536d105..4334679397 100644
--- a/nntrainer/layers/cl_layers/custom_vocab_selection.h
+++ b/nntrainer/layers/cl_layers/custom_vocab_selection.h
@@ -93,7 +93,7 @@ class VocabSelectionNNTrainer : public VocabSelection {
   /**
    * @brief Destructor of VocabSelectionNNTrainer class
    */
-  ~VocabSelectionNNTrainer() {};
+  ~VocabSelectionNNTrainer(){};
 };
 
 } // namespace nntrainer
diff --git a/nntrainer/layers/cl_layers/lm_head_layer_cl.h b/nntrainer/layers/cl_layers/lm_head_layer_cl.h
index f22e4195de..6378c6f778 100644
--- a/nntrainer/layers/cl_layers/lm_head_layer_cl.h
+++ b/nntrainer/layers/cl_layers/lm_head_layer_cl.h
@@ -80,7 +80,10 @@ class CustomLMHeadLayerCl : public LayerImpl {
    */
   void finalize(nntrainer::InitLayerContext &context) override;
 
-  void initialize(nntrainer::RunLayerContext &context) override {
+  /**
+   * @copydoc Layer::intialize(RunLayerContext &context)
+   */
+  void initialize(nntrainer::RunLayerContext &context) {
     auto use_vocab_selection =
       std::get<props::UseVocabSelection>(custom_lm_head_props).get();
 
@@ -123,7 +126,7 @@ class CustomLMHeadLayerCl : public LayerImpl {
    * @copydoc Layer::exportTo(Exporter &exporter, ExportMethods method)
    */
   void exportTo(nntrainer::Exporter &exporter,
-                const ml::train::ExportMethods &method) const override {};
+                const ml::train::ExportMethods &method) const override{};
 
   /**
    * @copydoc Layer::getType()