clang format

src/onnx/onnx.cpp

@@ -685,10 +685,10 @@ struct onnx_parser
         {
             auto names = attributes.at("activations").strings();
             vec_names.clear();
-            for_each(names.begin(), names.end(), [&](auto &fn) { vec_names.push_back(fn); } );
+            for_each(names.begin(), names.end(), [&](auto& fn) { vec_names.push_back(fn); });
         }
 
-        for_each(vec_names.begin(), vec_names.end(), [&] (auto &fn) {
+        for_each(vec_names.begin(), vec_names.end(), [&](auto& fn) {
             if(map_actv_funcs.count(fn) == 0)
             {
                 MIGRAPHX_THROW("RNN: activation function " + fn + " not supported");
@@ -698,16 +698,16 @@ struct onnx_parser
         // bidirectional should have two activation functions
         // if only one actv function is provides, we use it in both
         // forward and reverse direction
-        if (dirct == op::rnn::bidirectional)
+        if(dirct == op::rnn::bidirectional)
         {
-            if (vec_names.size() == 1)
+            if(vec_names.size() == 1)
             {
                 vec_names.push_back(vec_names.at(0));
             }
         }
 
         std::vector<operation> vec_actv_funcs;
-        for_each(vec_names.begin(), vec_names.end(), [&] (auto &fn) {
+        for_each(vec_names.begin(), vec_names.end(), [&](auto& fn) {
             vec_actv_funcs.push_back(map_actv_funcs[fn]);
         });
 

src/rewrite_rnn.cpp

@@ -160,8 +160,15 @@ void rewrite_rnn::apply(program& prog) const
             {
                 ih = prog.add_literal(migraphx::literal{s, data});
             }
-            auto ret = rnn_oper(
-                is_forward, prog, ins, args[0], trans_xw, trans_hw, ih, bias, rnn_op.actv_funcs.at(0));
+            auto ret = rnn_oper(is_forward,
+                                prog,
+                                ins,
+                                args[0],
+                                trans_xw,
+                                trans_hw,
+                                ih,
+                                bias,
+                                rnn_op.actv_funcs.at(0));
 
             // add the dimension of num_direction
             prog.replace_instruction(ins, op::unsqueeze{{1}}, ret[0]);