Rename attribute name in proto

paddle/gserver/layers/SwitchOrderLayer.cpp

@@ -32,11 +32,11 @@ bool SwitchOrderLayer::init(const LayerMap& layerMap,
   outDims_ = TensorShape(4);
 
   auto& reshape_conf = config_.reshape_conf();
-  for (int i = 0; i < reshape_conf.heightaxis_size(); i++) {
-    heightAxis_.push_back(reshape_conf.heightaxis(i));
+  for (int i = 0; i < reshape_conf.height_axis_size(); i++) {
+    heightAxis_.push_back(reshape_conf.height_axis(i));
   }
-  for (int i = 0; i < reshape_conf.widthaxis_size(); i++) {
-    widthAxis_.push_back(reshape_conf.widthaxis(i));
+  for (int i = 0; i < reshape_conf.width_axis_size(); i++) {
+    widthAxis_.push_back(reshape_conf.width_axis(i));
   }
   createFunction(nchw2nhwc_, "NCHW2NHWC", FuncConfig());
   createFunction(nhwc2nchw_, "NHWC2NCHW", FuncConfig());

paddle/gserver/tests/test_LayerGrad.cpp

@@ -2019,10 +2019,10 @@ TEST(Layer, SwitchOrderLayer) {
   img->set_img_size_y(16);
 
   ReshapeConfig* reshape = config.layerConfig.mutable_reshape_conf();
-  reshape->add_heightaxis(0);
-  reshape->add_heightaxis(1);
-  reshape->add_heightaxis(2);
-  reshape->add_widthaxis(3);
+  reshape->add_height_axis(0);
+  reshape->add_height_axis(1);
+  reshape->add_height_axis(2);
+  reshape->add_width_axis(3);
 
   // config softmax layer
   config.layerConfig.set_type("switch_order");

proto/ModelConfig.proto

@@ -288,8 +288,8 @@ message PadConfig {
 }
 
 message ReshapeConfig {
-  repeated uint32 heightAxis = 1;
-  repeated uint32 widthAxis = 2;
+  repeated uint32 height_axis = 1;
+  repeated uint32 width_axis = 2;
 }
 
 message MultiBoxLossConfig {