diff --git a/paddle/fluid/framework/ir/generate_pass.cc b/paddle/fluid/framework/ir/generate_pass.cc
index 9eba6fc89a2e9654c85e124510db884c72127d36..085298314ea3ffeba7e5924d0017e87ecf97d91a 100644
--- a/paddle/fluid/framework/ir/generate_pass.cc
+++ b/paddle/fluid/framework/ir/generate_pass.cc
@@ -13,6 +13,7 @@
 // limitations under the License.
 
 #include "paddle/fluid/framework/ir/generate_pass.h"
+#include "paddle/fluid/framework/ir/graph_pattern_detector.h"
 
 namespace paddle {
 namespace framework {
@@ -224,6 +225,115 @@ bool GeneratePass::VerifyGraph(const Graph& graph) {
   return true;
 }
 
+namespace generate_pass {
+
+VarHelper::VarHelper(const char* name) : name_(name), type_(Type::kInput) {}
+VarHelper::VarHelper(const std::string& name, Type type)
+    : name_(name), type_(type) {}
+
+OpHelper::OpHelper(const char* type, SubgraphHelper* subgraph_helper)
+    : type_(type), subgraph_helper_(subgraph_helper) {
+  op_desc_ = subgraph_helper_->ProgramDesc()->mutable_blocks(0)->add_ops();
+  op_desc_->set_type(type_);
+}
+
+OpHelper::Arguments::Arguments(const char* parameter,
+                               const VarHelper& var_helper)
+    : parameter_(parameter) {
+  var_helpers_.push_back(var_helper);
+}
+
+OpHelper::Arguments::Arguments(const char* parameter,
+                               std::initializer_list<VarHelper> var_helpers)
+    : parameter_(parameter), var_helpers_(var_helpers) {}
+
+OpHelper& OpHelper::operator()(const Arguments& input) {
+  proto::OpDesc::Var* var = op_desc_->add_inputs();
+  var->set_parameter(input.parameter_);
+  for (const VarHelper& var_helper : input.var_helpers_) {
+    var->add_arguments()->assign(var_helper.name_);
+    if (VarHelper::Type::kInput == var_helper.type_) {
+      subgraph_helper_->AddInputVar(var_helper.name_);
+    }
+  }
+  return *this;
+}
+
+OpHelper& OpHelper::operator()(std::initializer_list<Arguments> inputs) {
+  for (const auto& input : inputs) {
+    operator()(input);
+  }
+  return *this;
+}
+
+VarHelper OpHelper::Out(const char* name) {
+  std::string argument = patterns::UniqueKey(type_);
+  proto::OpDesc::Var* var = op_desc_->add_outputs();
+  var->set_parameter(name);
+  var->add_arguments()->assign(argument);
+  return VarHelper(argument, VarHelper::Type::kOutput);
+}
+
+proto::ProgramDesc* SubgraphHelper::ProgramDesc() { return &program_desc_; }
+
+const proto::ProgramDesc& SubgraphHelper::ProgramDesc() const {
+  return program_desc_;
+}
+
+const std::vector<std::string>& SubgraphHelper::InputVars() const {
+  return input_vars_;
+}
+
+const std::vector<std::string>& SubgraphHelper::OutputVars() const {
+  return output_vars_;
+}
+
+void SubgraphHelper::AddInputVar(const std::string& name) {
+  auto iter = std::find(input_vars_.begin(), input_vars_.end(), name);
+  if (input_vars_.end() == iter) {
+    input_vars_.push_back(name);
+  }
+}
+
+void SubgraphHelper::AddOutputVars(const VarHelper& var_helper) {
+  output_vars_.push_back(var_helper.name_);
+}
+
+}  // namespace generate_pass
+
+PassPairs::PassPairs(const SubgraphType& pattern, const SubgraphType& replace) {
+  AddPassDesc(pattern, replace);
+}
+
+void PassPairs::AddPassDesc(const SubgraphType& pattern,
+                            const SubgraphType& replace) {
+  proto::PassDesc* pass_desc = multi_pass_desc_.add_pass_descs();
+  pass_desc->mutable_pattern()->CopyFrom(pattern.ProgramDesc());
+  pass_desc->mutable_replace()->CopyFrom(replace.ProgramDesc());
+  PADDLE_ENFORCE_EQ(pattern.InputVars().size(), replace.InputVars().size(),
+                    platform::errors::InvalidArgument(
+                        "Size of lambda expression arguments is not equal "
+                        "between pattern/replace subgraph."));
+  for (size_t i = 0; i < pattern.InputVars().size(); i++) {
+    proto::PassDesc::VarMap* var_map = pass_desc->add_var_maps();
+    var_map->set_pattern_var(pattern.InputVars()[i]);
+    var_map->set_replace_var(replace.InputVars()[i]);
+  }
+  PADDLE_ENFORCE_EQ(pattern.OutputVars().size(), replace.OutputVars().size(),
+                    platform::errors::InvalidArgument(
+                        "Size of lambda expression returns is not equal "
+                        "between pattern/replace subgraph."));
+  for (size_t i = 0; i < pattern.OutputVars().size(); i++) {
+    proto::PassDesc::VarMap* var_map = pass_desc->add_var_maps();
+    var_map->set_pattern_var(pattern.OutputVars()[i]);
+    var_map->set_replace_var(replace.OutputVars()[i]);
+  }
+}
+
+const proto::MultiPassDesc& PassPairs::MultiPassDesc() const {
+  return multi_pass_desc_;
+}
+
 }  // namespace ir
 }  // namespace framework
 }  // namespace paddle
diff --git a/paddle/fluid/framework/ir/generate_pass.h b/paddle/fluid/framework/ir/generate_pass.h
index f73173233aed321fefbc3f9018a051b5bbc86519..26e5231fbc16e7c9038a3bf060f82628501fa12a 100644
--- a/paddle/fluid/framework/ir/generate_pass.h
+++ b/paddle/fluid/framework/ir/generate_pass.h
@@ -13,7 +13,6 @@
 // limitations under the License.
 
 #pragma once
-#include "paddle/fluid/framework/ir/graph_pattern_detector.h"
 #include "paddle/fluid/framework/ir/pass.h"
 #include "paddle/fluid/framework/pass_desc.pb.h"
 
@@ -43,6 +42,158 @@ class GeneratePass : public Pass {
   proto::MultiPassDesc multi_pass_desc_;
 };
 
+namespace generate_pass {
+
+class VarHelper;
+class OpHelper;
+class SubgraphHelper;
+
+// VarHelper is used to represent a variable node.
+struct VarHelper {
+  enum class Type { kInput, kOutput };
+
+  explicit VarHelper(const char* name);
+  VarHelper(const std::string& name, Type type);
+
+  std::string name_;
+  Type type_;
+};
+
+// OpHelper is used to represent a operator node.
+class OpHelper {
+ public:
+  // Convert multiple inputs.
+  struct Arguments {
+    Arguments(const char* parameter, const VarHelper& var_helper);
+    Arguments(const char* parameter,
+              std::initializer_list<VarHelper> var_helpers);
+
+    std::string parameter_;
+    std::vector<VarHelper> var_helpers_;
+  };
+
+  OpHelper(const char* type, SubgraphHelper* subgraph_helper);
+
+  OpHelper& operator()(const Arguments& input);
+  OpHelper& operator()(std::initializer_list<Arguments> inputs);
+
+  VarHelper Out(const char* name);
+
+ private:
+  OpHelper() = delete;
+  DISABLE_COPY_AND_ASSIGN(OpHelper);
+
+  const char* type_;
+  proto::OpDesc* op_desc_;
+  SubgraphHelper* subgraph_helper_;
+};
+
+/*
+ * SubgraphHelper is used to define pattern/replace subgraphs.
+ *
+ * Use lambda expression to define subgraph like Python. SubgraphHelper
+ * converts lambda expression to ProgramDesc.
+ *
+ * In order to define a subgraph, user need to use VarHelper and OpHelper.
+ * Use the macros instead of class names, so user can develop better and
+ * don't need to know too much about underlying implementation.
+ *
+ * An example of defining a subgraph as follows:
+ *
+ *   SUBGRAPH_(subgraph)([subgraph=&subgraph](VAR_(x), VAR_(y), VAR_(z)) {
+ *     auto ewadd1 = OP_(elementwise_add)({{"X", x}, {"Y", y}}).Out("Out");
+ *     auto ewadd2 = OP_(elementwise_add)({{"X", ewadd1}, {"Y", z}}).Out("Out");
+ *     return ewadd2;
+ *   });
+ *
+ */
+class SubgraphHelper {
+ public:
+  SubgraphHelper() = default;
+  // The lambda expression is a prvalue expression.
+  template <typename T>
+  SubgraphHelper& operator=(const T&& f) {
+    proto::BlockDesc* block = program_desc_.add_blocks();
+    block->set_idx(0);
+    block->set_parent_idx(0);
+    AddOutputVars(f());
+    return *this;
+  }
+
+  proto::ProgramDesc* ProgramDesc();
+  const proto::ProgramDesc& ProgramDesc() const;
+  const std::vector<std::string>& InputVars() const;
+  const std::vector<std::string>& OutputVars() const;
+
+  void AddInputVar(const std::string& name);
+
+  void AddOutputVars(const VarHelper& var_helper);
+
+  template <size_t i, typename... Ts,
+            std::enable_if_t<i + 1 < sizeof...(Ts)>* = nullptr>
+  void AddOutputVars(const std::tuple<Ts...>& outputs) {
+    AddOutputVars(std::get<i>(outputs));
+    AddOutputVars<i + 1>(outputs);
+  }
+
+  template <size_t i, typename... Ts,
+            std::enable_if_t<i + 1 == sizeof...(Ts)>* = nullptr>
+  void AddOutputVars(const std::tuple<Ts...>& outputs) {
+    AddOutputVars(std::get<i>(outputs));
+  }
+
+  template <typename... Ts>
+  void AddOutputVars(const std::tuple<Ts...>& outputs) {
+    AddOutputVars<0>(outputs);
+  }
+
+ private:
+  DISABLE_COPY_AND_ASSIGN(SubgraphHelper);
+  std::vector<std::string> input_vars_;
+  std::vector<std::string> output_vars_;
+  proto::ProgramDesc program_desc_;
+};
+
+}  // namespace generate_pass
+
+class PassPairs {
+ public:
+  using SubgraphType = generate_pass::SubgraphHelper;
+
+  PassPairs() = default;
+  PassPairs(const SubgraphType& pattern, const SubgraphType& replace);
+
+  void AddPassDesc(const SubgraphType& pattern, const SubgraphType& replace);
+
+  const proto::MultiPassDesc& MultiPassDesc() const;
+
+ private:
+  proto::MultiPassDesc multi_pass_desc_;
+};
+
+// Use function to register in CC.
+template <PassPairs (*Functor)(void)>
+class MacroPassHelper : public GeneratePass {
+ public:
+  MacroPassHelper() : GeneratePass(Functor().MultiPassDesc()) {}
+};
+
+#define VAR_(name)                                         \
+  ::paddle::framework::ir::generate_pass::VarHelper name = \
+      ::paddle::framework::ir::generate_pass::VarHelper(#name)
+#define OP_(type) \
+  ::paddle::framework::ir::generate_pass::OpHelper(#type, subgraph)
+#define SUBGRAPH_(name)                                        \
+  ::paddle::framework::ir::generate_pass::SubgraphHelper name; \
+  name
+
+#define REGISTER_GENERATE_PASS(pass_type)                               \
+  paddle::framework::ir::PassPairs register_##pass_type();              \
+  REGISTER_PASS(                                                        \
+      pass_type,                                                        \
+      ::paddle::framework::ir::MacroPassHelper<&register_##pass_type>); \
+  paddle::framework::ir::PassPairs register_##pass_type()
+
 }  // namespace ir
 }  // namespace framework
 }  // namespace paddle
diff --git a/paddle/fluid/framework/ir/generate_pass_tester.cc b/paddle/fluid/framework/ir/generate_pass_tester.cc
index c3852d29c308ff2594c63f3b5be06ad12c7211a4..6876dde50c157c3e14d2aa5b1212e9ffd48f90bf 100644
--- a/paddle/fluid/framework/ir/generate_pass_tester.cc
+++ b/paddle/fluid/framework/ir/generate_pass_tester.cc
@@ -16,234 +16,71 @@
 #include "gtest/gtest.h"
 #include "paddle/fluid/framework/ir/pass_tester_helper.h"
 
-namespace paddle {
-namespace framework {
-namespace ir {
-
-template <proto::MultiPassDesc (*Functor)(void)>
-class CXXGeneratePass : public GeneratePass {
- public:
-  CXXGeneratePass() : GeneratePass(Functor()) {}
-};
-
-#define REGISTER_GENERATE_PASS(pass_type, function) \
-  REGISTER_PASS(pass_type, ::paddle::framework::ir::CXXGeneratePass<&function>)
-
-proto::MultiPassDesc generate_fc_fuse() {
-  proto::MultiPassDesc multi_pass_desc;
+REGISTER_GENERATE_PASS(generate_fc_fuse) {
+  paddle::framework::ir::PassPairs pass_pairs;
   for (bool with_relu : {true, false}) {
-    proto::PassDesc* pass_desc = multi_pass_desc.add_pass_descs();
-    proto::BlockDesc* pattern = pass_desc->mutable_pattern()->add_blocks();
-    pattern->set_idx(0);
-    pattern->set_parent_idx(0);
-    proto::OpDesc* mul = pattern->add_ops();
-    mul->set_type("mul");
-    proto::OpDesc::Var* mul_x = mul->add_inputs();
-    mul_x->set_parameter("X");
-    mul_x->add_arguments()->assign("x");
-    proto::OpDesc::Var* mul_y = mul->add_inputs();
-    mul_y->set_parameter("Y");
-    mul_y->add_arguments()->assign("w");
-    proto::OpDesc::Var* mul_out = mul->add_outputs();
-    mul_out->set_parameter("Out");
-    mul_out->add_arguments()->assign("mul_out");
-    proto::OpDesc* ewadd = pattern->add_ops();
-    ewadd->set_type("elementwise_add");
-    proto::OpDesc::Var* ewadd_x = ewadd->add_inputs();
-    ewadd_x->set_parameter("X");
-    ewadd_x->add_arguments()->assign("mul_out");
-    proto::OpDesc::Var* ewadd_y = ewadd->add_inputs();
-    ewadd_y->set_parameter("Y");
-    ewadd_y->add_arguments()->assign("b");
-    proto::OpDesc::Var* ewadd_out = ewadd->add_outputs();
-    ewadd_out->set_parameter("Out");
-    ewadd_out->add_arguments()->assign("ewadd_out");
-    proto::OpDesc* relu = nullptr;
-    proto::BlockDesc* replace = pass_desc->mutable_replace()->add_blocks();
-    replace->set_idx(0);
-    replace->set_parent_idx(0);
-    proto::OpDesc* fc = replace->add_ops();
-    fc->set_type("fc");
-    proto::OpDesc::Var* fc_x = fc->add_inputs();
-    fc_x->set_parameter("Input");
-    fc_x->add_arguments()->assign("x");
-    proto::OpDesc::Var* fc_w = fc->add_inputs();
-    fc_w->set_parameter("W");
-    fc_w->add_arguments()->assign("w");
-    proto::OpDesc::Var* fc_b = fc->add_inputs();
-    fc_b->set_parameter("Bias");
-    fc_b->add_arguments()->assign("b");
-    proto::OpDesc::Var* fc_out = fc->add_outputs();
-    fc_out->set_parameter("Out");
-    fc_out->add_arguments()->assign("fc_out");
-    for (const char* var : {"x", "w", "b", "fc_out"}) {
-      proto::PassDesc::VarMap* var_map = pass_desc->add_var_maps();
-      var_map->set_pattern_var(var);
-      var_map->set_replace_var(var);
-    }
-    proto::PassDesc::AttrMap* attr_map = pass_desc->add_attr_maps();
-    attr_map->set_pattern_op_idx(0);
-    attr_map->set_pattern_name("x_num_col_dims");
-    attr_map->set_replace_op_idx(0);
-    attr_map->set_replace_name("in_num_col_dims");
-    if (with_relu) {
-      relu = pattern->add_ops();
-      relu->set_type("relu");
-      proto::OpDesc::Var* relu_x = relu->add_inputs();
-      relu_x->set_parameter("X");
-      relu_x->add_arguments()->assign("ewadd_out");
-      proto::OpDesc::Var* relu_out = relu->add_outputs();
-      relu_out->set_parameter("Out");
-      relu_out->add_arguments()->assign("relu_out");
-      pass_desc->mutable_var_maps(3)->set_pattern_var("relu_out");
-      proto::OpDesc::Attr* attr = fc->add_attrs();
-      attr->set_name("activation_type");
-      attr->set_type(proto::AttrType::STRING);
-      attr->set_s("relu");
-    } else {
-      pass_desc->mutable_var_maps(3)->set_pattern_var("ewadd_out");
-    }
+    // pattern
+    SUBGRAPH_(pattern) =
+        [ subgraph = &pattern, with_relu ](VAR_(x), VAR_(y), VAR_(z)) {
+      VLOG(3) << "exec lambda func.";
+      auto mul = OP_(mul)({{"X", x}, {"Y", y}}).Out("Out");
+      auto ewadd = OP_(elementwise_add)({{"X", mul}, {"Y", z}}).Out("Out");
+      if (with_relu) {
+        return OP_(relu)({"X", ewadd}).Out("Out");
+      } else {
+        return ewadd;
+      }
+    };
+    // replace
+    SUBGRAPH_(replace) =
+        [ subgraph = &replace, with_relu ](VAR_(x), VAR_(y), VAR_(z)) {
+      auto& fc = OP_(fc)({{"Input", x}, {"W", y}, {"Bias", z}});
+      return fc.Out("Out");
+    };
+    pass_pairs.AddPassDesc(pattern, replace);
   }
-  return multi_pass_desc;
+  return pass_pairs;
 }
 
-proto::MultiPassDesc generate_multi_add_to_addn() {
-  proto::MultiPassDesc multi_pass_desc;
-  proto::PassDesc* pass_desc = multi_pass_desc.add_pass_descs();
-  proto::BlockDesc* pattern = pass_desc->mutable_pattern()->add_blocks();
-  proto::OpDesc* ewadd_0 = pattern->add_ops();
-  ewadd_0->set_type("elementwise_add");
-  proto::OpDesc::Var* ewadd_0_x = ewadd_0->add_inputs();
-  ewadd_0_x->set_parameter("X");
-  ewadd_0_x->add_arguments()->assign("a");
-  proto::OpDesc::Var* ewadd_0_y = ewadd_0->add_inputs();
-  ewadd_0_y->set_parameter("Y");
-  ewadd_0_y->add_arguments()->assign("b");
-  proto::OpDesc::Var* ewadd_0_out = ewadd_0->add_outputs();
-  ewadd_0_out->set_parameter("Out");
-  ewadd_0_out->add_arguments()->assign("ewadd_out_0");
-  proto::OpDesc* ewadd_1 = pattern->add_ops();
-  ewadd_1->set_type("elementwise_add");
-  proto::OpDesc::Var* ewadd_1_x = ewadd_1->add_inputs();
-  ewadd_1_x->set_parameter("X");
-  ewadd_1_x->add_arguments()->assign("ewadd_out_0");
-  proto::OpDesc::Var* ewadd_1_y = ewadd_1->add_inputs();
-  ewadd_1_y->set_parameter("Y");
-  ewadd_1_y->add_arguments()->assign("c");
-  proto::OpDesc::Var* ewadd_1_out = ewadd_1->add_outputs();
-  ewadd_1_out->set_parameter("Out");
-  ewadd_1_out->add_arguments()->assign("ewadd_out_1");
-  proto::BlockDesc* replace = pass_desc->mutable_replace()->add_blocks();
-  proto::OpDesc* addn = replace->add_ops();
-  addn->set_type("add_n");
-  proto::OpDesc::Var* addn_x = addn->add_inputs();
-  addn_x->set_parameter("X");
-  addn_x->add_arguments()->assign("a");
-  addn_x->add_arguments()->assign("b");
-  addn_x->add_arguments()->assign("c");
-  proto::OpDesc::Var* addn_out = addn->add_outputs();
-  addn_out->set_parameter("Out");
-  addn_out->add_arguments()->assign("addn_out");
-  for (const char* var : {"a", "b", "c", "ewadd_out_1"}) {
-    proto::PassDesc::VarMap* var_map = pass_desc->add_var_maps();
-    var_map->set_pattern_var(var);
-    var_map->set_replace_var(var);
-  }
-  pass_desc->mutable_var_maps(3)->set_replace_var("addn_out");
-  return multi_pass_desc;
+REGISTER_GENERATE_PASS(generate_multi_add_to_addn) {
+  // pattern
+  SUBGRAPH_(pattern) = [subgraph = &pattern](VAR_(x), VAR_(y), VAR_(z)) {
+    auto ewadd1 = OP_(elementwise_add)({{"X", x}, {"Y", y}}).Out("Out");
+    auto ewadd2 = OP_(elementwise_add)({{"X", ewadd1}, {"Y", z}}).Out("Out");
+    return ewadd2;
+  };
+  // replace
+  SUBGRAPH_(replace) = [subgraph = &replace](VAR_(x), VAR_(y), VAR_(z)) {
+    return OP_(sum)({"X", {x, y, z}}).Out("Out");
+  };
+  return {pattern, replace};
 }
 
-proto::MultiPassDesc generate_combine_matmul() {
-  proto::MultiPassDesc multi_pass_desc;
-  proto::PassDesc* pass_desc = multi_pass_desc.add_pass_descs();
-  proto::BlockDesc* pattern = pass_desc->mutable_pattern()->add_blocks();
-  proto::OpDesc* matmul_0 = pattern->add_ops();
-  matmul_0->set_type("matmul");
-  proto::OpDesc::Var* matmul_0_x = matmul_0->add_inputs();
-  matmul_0_x->set_parameter("X");
-  matmul_0_x->add_arguments()->assign("a");
-  proto::OpDesc::Var* matmul_0_y = matmul_0->add_inputs();
-  matmul_0_y->set_parameter("Y");
-  matmul_0_y->add_arguments()->assign("b");
-  proto::OpDesc::Var* matmul_0_out = matmul_0->add_outputs();
-  matmul_0_out->set_parameter("Out");
-  matmul_0_out->add_arguments()->assign("matmul_out_0");
-  proto::OpDesc* matmul_1 = pattern->add_ops();
-  matmul_1->set_type("matmul");
-  proto::OpDesc::Var* matmul_1_x = matmul_1->add_inputs();
-  matmul_1_x->set_parameter("X");
-  matmul_1_x->add_arguments()->assign("a");
-  proto::OpDesc::Var* matmul_1_y = matmul_1->add_inputs();
-  matmul_1_y->set_parameter("Y");
-  matmul_1_y->add_arguments()->assign("c");
-  proto::OpDesc::Var* matmul_1_out = matmul_1->add_outputs();
-  matmul_1_out->set_parameter("Out");
-  matmul_1_out->add_arguments()->assign("matmul_out_1");
-  proto::BlockDesc* replace = pass_desc->mutable_replace()->add_blocks();
-  proto::OpDesc* concat = replace->add_ops();
-  concat->set_type("concat");
-  proto::OpDesc::Var* concat_x = concat->add_inputs();
-  concat_x->set_parameter("X");
-  concat_x->add_arguments()->assign("b");
-  concat_x->add_arguments()->assign("c");
-  proto::OpDesc::Var* concat_out = concat->add_outputs();
-  concat_out->set_parameter("Out");
-  concat_out->add_arguments()->assign("concat_out");
-  proto::OpDesc* matmul = replace->add_ops();
-  matmul->set_type("matmul");
-  proto::OpDesc::Var* matmul_x = matmul->add_inputs();
-  matmul_x->set_parameter("X");
-  matmul_x->add_arguments()->assign("a");
-  proto::OpDesc::Var* matmul_y = matmul->add_inputs();
-  matmul_y->set_parameter("Y");
-  matmul_y->add_arguments()->assign("concat_out");
-  proto::OpDesc::Var* matmul_out = matmul->add_outputs();
-  matmul_out->set_parameter("Out");
-  matmul_out->add_arguments()->assign("matmul_out");
-  proto::OpDesc* slice_0 = replace->add_ops();
-  slice_0->set_type("slice");
-  proto::OpDesc::Var* slice_0_x = slice_0->add_inputs();
-  slice_0_x->set_parameter("X");
-  slice_0_x->add_arguments()->assign("matmul_out");
-  proto::OpDesc::Var* slice_0_out = slice_0->add_outputs();
-  slice_0_out->set_parameter("Out");
-  slice_0_out->add_arguments()->assign("slice_out_0");
-  proto::OpDesc* slice_1 = replace->add_ops();
-  slice_1->set_type("slice");
-  proto::OpDesc::Var* slice_1_x = slice_1->add_inputs();
-  slice_1_x->set_parameter("X");
-  slice_1_x->add_arguments()->assign("matmul_out");
-  proto::OpDesc::Var* slice_1_out = slice_1->add_outputs();
-  slice_1_out->set_parameter("Out");
-  slice_1_out->add_arguments()->assign("slice_out_1");
-  for (const char* var : {"a", "b", "c", "matmul_out_0", "matmul_out_1"}) {
-    proto::PassDesc::VarMap* var_map = pass_desc->add_var_maps();
-    var_map->set_pattern_var(var);
-    var_map->set_replace_var(var);
-  }
-  pass_desc->mutable_var_maps(3)->set_replace_var("slice_out_0");
-  pass_desc->mutable_var_maps(4)->set_replace_var("slice_out_1");
-  return multi_pass_desc;
+REGISTER_GENERATE_PASS(generate_combine_matmul) {
+  // pattern
+  SUBGRAPH_(pattern) = [subgraph = &pattern](VAR_(x), VAR_(y), VAR_(z)) {
+    auto matmul1 = OP_(matmul)({{"X", x}, {"Y", y}}).Out("Out");
+    auto matmul2 = OP_(matmul)({{"X", x}, {"Y", z}}).Out("Out");
+    return std::make_tuple(matmul1, matmul2);
+  };
+  // replace
+  SUBGRAPH_(replace) = [subgraph = &replace](VAR_(x), VAR_(y), VAR_(z)) {
+    auto concat = OP_(concat)({"X", {y, z}}).Out("Out");
+    auto matmul = OP_(matmul)({{"X", x}, {"Y", concat}}).Out("Out");
+    auto slice1 = OP_(slice)({"X", matmul}).Out("Out");
+    auto slice2 = OP_(slice)({"X", matmul}).Out("Out");
+    return std::make_tuple(slice1, slice2);
+  };
+  return {pattern, replace};
 }
 
-}  // namespace ir
-}  // namespace framework
-}  // namespace paddle
-
-REGISTER_GENERATE_PASS(generate_fc_fuse,
-                       paddle::framework::ir::generate_fc_fuse);
-REGISTER_GENERATE_PASS(generate_multi_add_to_addn,
-                       paddle::framework::ir::generate_multi_add_to_addn);
-REGISTER_GENERATE_PASS(generate_combine_matmul,
-                       paddle::framework::ir::generate_combine_matmul);
-
 namespace paddle {
 namespace framework {
 namespace ir {
 
 TEST(GeneratePass, construct_with_string) {
   std::string binary_str;
-  generate_fc_fuse().SerializeToString(&binary_str);
+  register_generate_fc_fuse().MultiPassDesc().SerializeToString(&binary_str);
   GeneratePass generate_pass(binary_str);
 }
 
@@ -318,7 +155,7 @@ TEST(GeneratePass, generate_multi_add_to_addn) {
 
   graph.reset(pass->Apply(graph.release()));
   int num_nodes_after = graph->Nodes().size();
-  int num_addn_nodes_after = GetNumOpNodes(graph, "add_n");
+  int num_addn_nodes_after = GetNumOpNodes(graph, "sum");
   VLOG(3) << DebugString(graph);
 
   PADDLE_ENFORCE_EQ(num_nodes_before, num_nodes_after + 2,