diff --git a/paddle/fluid/framework/ir/conv_elementwise_add2_act_fuse_pass.cc b/paddle/fluid/framework/ir/conv_elementwise_add2_act_fuse_pass.cc
index 23f343f631628b432d91d4504019895ed4bac4a5..c6121777e8d2c32193b5c170bb0fa3f0337c9bc3 100644
--- a/paddle/fluid/framework/ir/conv_elementwise_add2_act_fuse_pass.cc
+++ b/paddle/fluid/framework/ir/conv_elementwise_add2_act_fuse_pass.cc
@@ -40,18 +40,20 @@ framework::proto::OpDesc PrepareOpDesc(
     const std::string& output) {
   auto proto = base_desc;
   framework::OpDesc desc(proto, nullptr);
+  desc.SetType("conv2d_fusion");
   desc.SetInput("Bias", {bias});
   desc.SetInput("ResidualData", {bias1});
   desc.SetAttr("activation", activation);
   desc.SetOutput("Output", {output});
   desc.SetAttr("is_test", true);
-
+  desc.SetAttr("use_cudnn", false);
+  desc.Flush();
   return *desc.Proto();
 }
 
 std::unique_ptr<ir::Graph> ConvElementwiseAdd2ActFusePass::ApplyImpl(
     std::unique_ptr<ir::Graph> graph) const {
-  const std::string pattern_name = "conv_elementwise_add_act_fuse";
+  const std::string pattern_name = "conv_elementwise_add2_act_fuse";
   FusePassBase::Init(pattern_name, graph.get());
 
   GraphPatternDetector gpd;
@@ -76,22 +78,23 @@ std::unique_ptr<ir::Graph> ConvElementwiseAdd2ActFusePass::ApplyImpl(
     framework::OpDesc new_op_desc(new_op_proto, nullptr);
 
     // Create a new node for the fused op.
-    graph->CreateOpNode(&new_op_desc);
+    auto* new_conv_op = graph->CreateOpNode(&new_op_desc);
 
     // Link inputs and outputs.
     PADDLE_ENFORCE(subgraph.count(x));
     auto* conv_in_node = subgraph.at(x);
 
-    IR_NODE_LINK_TO(conv_in_node, conv_op);            // Input
-    IR_NODE_LINK_TO(conv_filter, conv_op);             // Filter
-    IR_NODE_LINK_TO(conv_op, conv_out);                // Output
-    IR_NODE_LINK_TO(elementwise_add_in_y, conv_op);    // Bias
-    IR_NODE_LINK_TO(elementwise_add_in_y_1, conv_op);  // Bias
+    IR_NODE_LINK_TO(conv_in_node, new_conv_op);            // Input
+    IR_NODE_LINK_TO(conv_filter, new_conv_op);             // Filter
+    IR_NODE_LINK_TO(elementwise_add_in_y, new_conv_op);    // Bias
+    IR_NODE_LINK_TO(elementwise_add_in_y_1, new_conv_op);  // Bias
+    IR_NODE_LINK_TO(new_conv_op, act_out);                 // Output
 
     // Delete the unneeded nodes.
-    GraphSafeRemoveNodes(graph.get(),
-                         {conv_op, elementwise_add_op, elementwise_add_op_1,
-                          elementwise_add_out});
+    GraphSafeRemoveNodes(
+        graph.get(),
+        {conv_op, conv_out, elementwise_add_op, elementwise_add_op_1,
+         elementwise_add_out, elementwise_add_out_1, act_op});
   };
   gpd(graph.get(), handler);
   return graph;
diff --git a/paddle/fluid/framework/ir/graph_pattern_detector.cc b/paddle/fluid/framework/ir/graph_pattern_detector.cc
index 13d752e5167c039ec8d9e4300b190a726bb02a63..73d1a3da8fc921eea77a2bddbe1cb63bd9832ea3 100644
--- a/paddle/fluid/framework/ir/graph_pattern_detector.cc
+++ b/paddle/fluid/framework/ir/graph_pattern_detector.cc
@@ -1101,9 +1101,7 @@ PDNode *patterns::ElementwiseAdd::operator()(PDNode *x_var, PDNode *y_var) {
   return out_var;
 }
 
-std::unordered_set<std::string> conv_act_set({"identity", "sigmoid", "relu",
-                                              "relu6", "relux", "tanh",
-                                              "band_pass"});
+std::unordered_set<std::string> conv_act_set({"identity", "relu"});
 
 PDNode *patterns::ConvElementwiseaddAct::operator()(PDNode *conv_in) {
   conv_in->AsInput();
@@ -1169,13 +1167,13 @@ PDNode *patterns::ConvElementwiseadd2Act::operator()(PDNode *conv_in) {
                                   ->AsInput();
   auto elementwise_add_out = pattern->NewNode(elementwise_add_out_repr())
                                  ->assert_is_op_output("elementwise_add")
-                                 ->assert_is_op_input("elementwise_add", "X")
+                                 ->assert_is_op_input("elementwise_add", "Y")
                                  ->AsIntermediate();
 
   auto elementwise_add_op_1 = pattern->NewNode(elementwise_add_op_1_repr())
                                   ->assert_is_op("elementwise_add");
   auto elementwise_add_in_y_1 = pattern->NewNode(elementwise_add_in_y_1_repr())
-                                    ->assert_is_op_input("elementwise_add", "Y")
+                                    ->assert_is_op_input("elementwise_add", "X")
                                     ->AsInput();
   auto elementwise_add_out_1 = pattern->NewNode(elementwise_add_out_1_repr())
                                    ->assert_is_op_output("elementwise_add")
@@ -1203,8 +1201,8 @@ PDNode *patterns::ConvElementwiseadd2Act::operator()(PDNode *conv_in) {
   conv_op->LinksFrom({conv_in, conv_filter}).LinksTo({conv_out});
   elementwise_add_op->LinksFrom({conv_out, elementwise_add_in_y})
       .LinksTo({elementwise_add_out});
-  elementwise_add_op_1->LinksFrom(
-      {elementwise_add_out, elementwise_add_in_y_1});
+  elementwise_add_op_1->LinksFrom({elementwise_add_out, elementwise_add_in_y_1})
+      .LinksTo({elementwise_add_out_1});
   act_op->LinksFrom({elementwise_add_out_1}).LinksTo({act_out});
   return act_out;
 }
diff --git a/paddle/fluid/operators/conv_fusion_op.cu.cc b/paddle/fluid/operators/conv_fusion_op.cu.cc
index 3235ad52b999e1ca3f992034781edaab9921a300..acceadab16493177754d3a8e27ee800a90c0adc8 100644
--- a/paddle/fluid/operators/conv_fusion_op.cu.cc
+++ b/paddle/fluid/operators/conv_fusion_op.cu.cc
@@ -22,7 +22,7 @@ DECLARE_bool(cudnn_exhaustive_search);
 namespace paddle {
 namespace operators {
 
-#if CUDNN_VERSION >= 7001
+#if CUDNN_VERSION >= 7100
 using Tensor = framework::Tensor;
 using ScopedTensorDescriptor = platform::ScopedTensorDescriptor;
 using ScopedFilterDescriptor = platform::ScopedFilterDescriptor;
@@ -204,7 +204,7 @@ class CUDNNConvFusionOpKernel : public framework::OpKernel<T> {
 }  // namespace operators
 }  // namespace paddle
 
-#if CUDNN_VERSION >= 7001
+#if CUDNN_VERSION >= 7100
 namespace ops = paddle::operators;
 REGISTER_OP_CUDA_KERNEL(conv2d_fusion, ops::CUDNNConvFusionOpKernel<float>,
                         ops::CUDNNConvFusionOpKernel<double>);