diff --git a/paddle/fluid/framework/ir/conv_elementwise_add_mkldnn_fuse_pass.cc b/paddle/fluid/framework/ir/conv_elementwise_add_mkldnn_fuse_pass.cc
index ac15e1b3d5f0874a21e63a5daecf51b38f822f5a..9cd3c401b0ecc3ded0c32cdd2f9b10e4fd88464c 100644
--- a/paddle/fluid/framework/ir/conv_elementwise_add_mkldnn_fuse_pass.cc
+++ b/paddle/fluid/framework/ir/conv_elementwise_add_mkldnn_fuse_pass.cc
@@ -184,7 +184,7 @@ graph_ptr ConvElementwiseAddMKLDNNFusePass::ApplyImpl(graph_ptr graph) const {
 
     op_desc.SetInput("Input", {conv_input->Name()});
     op_desc.SetInput("Filter", {conv_filter->Name()});
-    op_desc.SetInput("EltwiseParameter", {elementwise_add_x->Name()});
+    op_desc.SetInput("ResidualData", {elementwise_add_x->Name()});
     op_desc.SetOutput("Output", {conv_output->Name()});
 
     op_desc.SetAttr("use_mkldnn", true);
diff --git a/paddle/fluid/operators/conv_mkldnn_op.cc b/paddle/fluid/operators/conv_mkldnn_op.cc
index c849caf94ffd17835294329479ae938ca0969c70..8c9ea7c409bf98d066ceda73f250bb8c7f07418d 100644
--- a/paddle/fluid/operators/conv_mkldnn_op.cc
+++ b/paddle/fluid/operators/conv_mkldnn_op.cc
@@ -390,14 +390,14 @@ class ConvMKLDNNOpKernel : public paddle::framework::OpKernel<T> {
     T* output_data = nullptr;
 
     if (fuse_eltwise) {
-      auto eltwise_param = ctx.Input<Tensor>("EltwiseParameter");
-      auto eltwise_param_data = eltwise_param->data<T>();
+      auto residual_param = ctx.Input<Tensor>("ResidualData");
+      auto residual_param_data = residual_param->data<T>();
 
-      PADDLE_ENFORCE(eltwise_param_data != nullptr, "Provide data if you want MKLDNN conv+elementwise_add fusion");
-      PADDLE_ENFORCE_EQ(output->dims(), eltwise_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(*eltwise_param);
+      output->ShareDataWith(*residual_param);
     } else {
       output_data =
         output->mutable_data<T>(ctx.GetPlace(), handler.GetDstMemorySize());
diff --git a/paddle/fluid/operators/conv_op.cc b/paddle/fluid/operators/conv_op.cc
index 99c50a52078a4118678863273501e4c935a39ff7..1e913dea1b1fdfdea1bcfc4786b1bcacebb97ed1 100644
--- a/paddle/fluid/operators/conv_op.cc
+++ b/paddle/fluid/operators/conv_op.cc
@@ -132,8 +132,9 @@ void Conv2DOpMaker::Make() {
             "(Tensor) The output tensor of convolution operator. "
             "The format of output tensor is also NCHW.")
       .Reuse("Input");
-  AddInput("EltwiseParameter",
-           "(Tensor) Tensor to which convolution output will be added."
+  AddInput("ResidualData",
+           "(Tensor) Tensor with residual data "
+           "to which convolution output will be added."
            "Used on with fuse_eltwise fusion.")
       .AsDispensable();
   AddAttr<std::vector<int>>("strides",