diff --git a/include/tnn/utils/data_type_utils.h b/include/tnn/utils/data_type_utils.h
index 99324a57d..40a21a2e6 100644
--- a/include/tnn/utils/data_type_utils.h
+++ b/include/tnn/utils/data_type_utils.h
@@ -25,7 +25,7 @@ namespace TNN_NS {
 class PUBLIC DataTypeUtils {
 public:
     // @brief get bytes
-    // @param data_tyep data type info
+    // @param data_type data type info
     static int GetBytesSize(DataType data_type);
 
     // @brief get string for DataType
diff --git a/source/tnn/device/huawei_npu/npu_network.cc b/source/tnn/device/huawei_npu/npu_network.cc
index 369ecdaf4..486208007 100644
--- a/source/tnn/device/huawei_npu/npu_network.cc
+++ b/source/tnn/device/huawei_npu/npu_network.cc
@@ -312,7 +312,7 @@ Status NpuNetwork::ConvertLayers(NetResource *net_resource) {
         LayerType type          = layer_info->type;
         NpuBaseLayer *cur_layer = CreateNpuBaseLayer(type);
         if (cur_layer == nullptr) {
-            LOGE("Error Init layer tyep %d (layer name: %s), huawei_npu does not support, may switch to arm\n",
+            LOGE("Error Init layer type %d (layer name: %s), huawei_npu does not support, may switch to arm\n",
                  layer_info->type, layer_info->name.c_str());
             return Status(TNNERR_LAYER_ERR, "CreateLayer failed");
         }
diff --git a/source/tnn/layer/base_layer.cc b/source/tnn/layer/base_layer.cc
index 7e4de0eaa..0223d502e 100644
--- a/source/tnn/layer/base_layer.cc
+++ b/source/tnn/layer/base_layer.cc
@@ -120,7 +120,7 @@ Status BaseLayer::InferOutputDataType() {
     auto const_resource = const_resource_;
     
     // Init base type, will re write in different device acc
-    // output data_type = input_data_tyep as default.
+    // output data_type = input_data_type as default.
     
     int flag = DATA_FLAG_CHANGE_NEVER;
     for (auto iter : input_blobs_) {
diff --git a/source/tnn/network/openvino/openvino_network.cc b/source/tnn/network/openvino/openvino_network.cc
index 334b7afb2..709401382 100644
--- a/source/tnn/network/openvino/openvino_network.cc
+++ b/source/tnn/network/openvino/openvino_network.cc
@@ -259,7 +259,7 @@ Status OpenVINONetwork_::Reshape(const InputShapesMap &inputs) {
 /*
  * InitLayerBuilders funcion does the following things:
  *  1. Set Blob type accordingly.
- *  2. Set data_tyep accordingly.
+ *  2. Set data_type accordingly.
  *  3. Infer the blob shapes.
  *  4. Check the weights required.
  *  5. Create Layer Builders.
diff --git a/source/tnn/utils/data_format_converter.h b/source/tnn/utils/data_format_converter.h
index e8336db3d..ea0ca354c 100644
--- a/source/tnn/utils/data_format_converter.h
+++ b/source/tnn/utils/data_format_converter.h
@@ -27,7 +27,7 @@ namespace TNN_NS {
 class DataFormatConverter {
 public:
     // @brief convert weights from [g][o][i][h][w] to [g][o/4][i/4][h][w][16]
-    // @param data_tyep data type info
+    // @param data_type data type info
     static Status ConvertFromGOIHWToGOIHW16Float(float *src, float *dst, int group, int input_channel,
                                                  int output_channel, int height, int width, bool tanspose = false);
     static Status ConvertFromGOIHWToGOIHW16Half(short *src, short *dst, int group, int input_channel,
@@ -36,7 +36,7 @@ class DataFormatConverter {
                                                 int output_channel, int height, int width, bool tanspose = false);
 
     // @brief convert weights from [n][c][h][w] to [n][c/4][h][w][4]
-    // @param data_tyep data type info
+    // @param data_type data type info
     static Status ConvertFromNCHWToNCHW4Float(float *src, float *dst, int num, int channel, int height, int width, bool transpose = false);
     static Status ConvertFromNCHWToNCHW4Half(short *src, short *dst, int num, int channel, int height, int width, bool transpose = false);
     static Status ConvertFromNCHWToNHWC4Int8(int8_t *src, int8_t *dst, int num, int channel, int hw);