apply code-format changes

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

tools/pnnx/src/pass_level2/torch_index_select.cpp

@@ -45,13 +45,12 @@ class torch_index_select_tnn : public GraphRewriterPass
 public:
     const char* match_pattern_graph() const
     {
-        return R"PNNXIR(7767517
-4 3
-pnnx.Input              input       0 1 input
-pnnx.Attribute          op_0        0 1 index @data=(?)i32
-tnn.Gather              op_1        2 1 input index out arg0=%dim arg1=0 arg2=1
-pnnx.Output             output      1 0 out
-)PNNXIR";
+        return R "PNNXIR(7767517
+               4 3 pnnx.Input input 0 1 input
+                   pnnx.Attribute op_0 0 1 index @data
+               = (?) i32
+                       tnn.Gather op_1 2 1 input index out arg0
+                  = % dim arg1 = 0 arg2 = 1 pnnx.Output output 1 0 out) PNNXIR ";
     }
 
     const char* replace_pattern_graph() const
@@ -78,12 +77,11 @@ 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"};