MKLDNN conv + elementwise_add fusion: further reformatting

paddle/fluid/framework/ir/conv_elementwise_add_mkldnn_fuse_pass.h

+// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
 #pragma once
 
 #include <string>

paddle/fluid/operators/conv_mkldnn_op.cc

@@ -303,7 +303,7 @@ class ConvMKLDNNOpKernel : public paddle::framework::OpKernel<T> {
     bool fuse_eltwise = ctx.Attr<bool>("fuse_eltwise");
     int groups = ctx.Attr<int>("groups");
 
-    // TODO: add support for dilation
+    // TODO(tpatejko): add support for dilation
     PADDLE_ENFORCE(
         dilations.size() == 2 && dilations[0] == 1 && dilations[1] == 1,
         "dilation in convolution is not implemented yet");
@@ -386,21 +386,24 @@ class ConvMKLDNNOpKernel : public paddle::framework::OpKernel<T> {
     auto user_weights_memory_p = handler.AcquireWeightsMemory(
         user_weights_md, to_void_cast<T>(filter_data));
 
-
     T* output_data = nullptr;
 
     if (fuse_eltwise) {
       auto residual_param = ctx.Input<Tensor>("ResidualData");
       auto residual_param_data = residual_param->data<T>();
 
-      PADDLE_ENFORCE(residual_param_data != nullptr, "Provide data if you want MKLDNN conv+elementwise_add fusion");
-      PADDLE_ENFORCE_EQ(output->dims(), residual_param->dims(), "Output and elementwise parameter need to have the same dimension sizes");
+      PADDLE_ENFORCE(
+          residual_param_data != nullptr,
+          "Provide data if you want MKLDNN conv+elementwise_add fusion");
+      PADDLE_ENFORCE_EQ(output->dims(), residual_param->dims(),
+                        "Output and elementwise parameter need to have the "
+                        "same dimension sizes");
 
       output_data = output->mutable_data<T>(ctx.GetPlace());
       output->ShareDataWith(*residual_param);
     } else {
       output_data =
-        output->mutable_data<T>(ctx.GetPlace(), handler.GetDstMemorySize());
+          output->mutable_data<T>(ctx.GetPlace(), handler.GetDstMemorySize());
     }
 
     // create reorder primitive if the input format is not the preferred one