diff --git a/tools/pnnx/src/load_tnn.cpp b/tools/pnnx/src/load_tnn.cpp
index 8b2fd6fd205..70b95a1d7f9 100644
--- a/tools/pnnx/src/load_tnn.cpp
+++ b/tools/pnnx/src/load_tnn.cpp
@@ -139,11 +139,11 @@ static size_t type_to_elemsize(int type)
 
 static int get_tnn_tensor_type(int dt)
 {
-    if (dt == 0) return 1;// fp32
-    if (dt == 1) return 3;// fp16
-    if (dt == 2) return 7;// int8
-    if (dt == 3) return 4;// int32
-    if (dt == 4) return 13;// bf16
+    if (dt == 0) return 1;  // fp32
+    if (dt == 1) return 3;  // fp16
+    if (dt == 2) return 7;  // int8
+    if (dt == 3) return 4;  // int32
+    if (dt == 4) return 13; // bf16
 
     fprintf(stderr, "unsupported tnn tensor type %d\n", dt);
     return 0; // unknown type
diff --git a/tools/pnnx/src/pass_level2/torch_index_select.cpp b/tools/pnnx/src/pass_level2/torch_index_select.cpp
index f9fe8eec67d..2bfc10558d4 100644
--- a/tools/pnnx/src/pass_level2/torch_index_select.cpp
+++ b/tools/pnnx/src/pass_level2/torch_index_select.cpp
@@ -84,12 +84,11 @@ pnnx.Output             output      1 0 out
         {
             indices[i] = p[i];
         }
-        op_index->attrs["data"].type = 5;// i64
+        op_index->attrs["data"].type = 5; // i64
         op_index->attrs["data"].shape = {n};
         op_index->attrs["data"].data.resize(n * 8);
         memcpy((void*)op_index->attrs["data"].data.data(), (const void*)indices.data(), n * 8);
 
-
         Operator* op_gather = ops.at("select");
         op_gather->params["dim"] = captured_params.at("dim");
         op_gather->inputnames = {"input", "index"};