Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into...

Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into feature/polish_visit_data_type

README.md

@@ -62,9 +62,9 @@ Please refer to our [release announcement](https://github.com/PaddlePaddle/Paddl
 ## Installation
 
 It is recommended to check out the
-[Docker installation guide](http://www.paddlepaddle.org/docs/develop/documentation/en/getstarted/build_and_install/docker_install_en.html)
+[Docker installation guide](http://www.paddlepaddle.org/docs/develop/documentation/fluid/en/build_and_install/docker_install_en.html)
 before looking into the
-[build from source guide](http://www.paddlepaddle.org/docs/develop/documentation/en/getstarted/build_and_install/build_from_source_en.html).
+[build from source guide](http://www.paddlepaddle.org/docs/develop/documentation/fluid/en/build_and_install/build_from_source_en.html).
 
 ## Documentation
 

cmake/external/mkldnn.cmake

@@ -45,9 +45,9 @@ IF(${CBLAS_PROVIDER} STREQUAL "MKLML")
 ELSE()
     MESSAGE(FATAL_ERROR "Should enable MKLML when build MKLDNN")
 ENDIF()
-
-SET(MKLDNN_CFLAG "${CMAKE_C_FLAGS} -Wno-error=strict-overflow")
-SET(MKLDNN_CXXFLAG "${CMAKE_CXX_FLAGS} -Wno-error=strict-overflow")
+SET(MKLDNN_FLAG "-Wno-error=strict-overflow -Wno-error=unused-result -Wno-unused-result")
+SET(MKLDNN_CFLAG "${CMAKE_C_FLAGS} ${MKLDNN_FLAG}")
+SET(MKLDNN_CXXFLAG "${CMAKE_CXX_FLAGS} ${MKLDNN_FLAG}")
 ExternalProject_Add(
     ${MKLDNN_PROJECT}
     ${EXTERNAL_PROJECT_LOG_ARGS}
@@ -61,6 +61,7 @@ ExternalProject_Add(
     CMAKE_ARGS          -DMKLROOT=${MKLML_ROOT}
     CMAKE_ARGS          -DCMAKE_C_FLAGS=${MKLDNN_CFLAG}
     CMAKE_ARGS          -DCMAKE_CXX_FLAGS=${MKLDNN_CXXFLAG}
+    CMAKE_ARGS          -DWITH_TEST=OFF -DWITH_EXAMPLE=OFF
     CMAKE_CACHE_ARGS    -DCMAKE_INSTALL_PREFIX:PATH=${MKLDNN_INSTALL_DIR}
                         -DMKLROOT:PATH=${MKLML_ROOT}
 )

cmake/external/mklml.cmake

@@ -27,7 +27,7 @@ ENDIF()
 INCLUDE(ExternalProject)
 
 SET(MKLML_PROJECT       "extern_mklml")
-SET(MKLML_VER           "mklml_lnx_2018.0.1.20171007")
+SET(MKLML_VER           "mklml_lnx_2018.0.3.20180406")
 SET(MKLML_URL           "http://paddlepaddledeps.bj.bcebos.com/${MKLML_VER}.tgz")
 SET(MKLML_SOURCE_DIR    "${THIRD_PARTY_PATH}/mklml")
 SET(MKLML_DOWNLOAD_DIR  "${MKLML_SOURCE_DIR}/src/${MKLML_PROJECT}")

doc/fluid/design/concepts/lod_tensor.md

@@ -155,7 +155,7 @@ into offsets
    3  2+3 4+5 1+9 2+10 3+12
 ```
 
-so we know that the first sentence is from word 0 to word 3, and the second sentence from work 3 to word 5.
+so we know that the first sentence is from word 0 to word 3, and the second sentence from word 3 to word 5.
 
 Similarly, the lengths in the top level LoD
 

paddle/fluid/framework/CMakeLists.txt

@@ -57,7 +57,7 @@ cc_library(data_transform SRCS data_transform.cc DEPS math_function tensor
 cc_library(attribute SRCS attribute.cc DEPS framework_proto boost)
 cc_test(program_desc_test SRCS program_desc_test.cc DEPS proto_desc
 device_context)
-cc_library(op_proto_maker SRCS op_proto_maker.cc DEPS framework_proto attribute)
+cc_library(op_proto_maker SRCS op_proto_maker.cc DEPS framework_proto attribute glog)
 cc_test(op_proto_maker_test SRCS op_proto_maker_test.cc DEPS op_proto_maker)
 cc_library(op_info SRCS op_info.cc DEPS attribute framework_proto)
 cc_library(shape_inference SRCS shape_inference.cc DEPS ddim attribute device_context)

paddle/fluid/framework/data_device_transform_test.cu

@@ -32,8 +32,7 @@ struct AddFunctor {
 
 class OpKernelTestProtoAndCheckerMaker : public OpProtoAndCheckerMaker {
  public:
-  OpKernelTestProtoAndCheckerMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() {
     AddInput("input", "input1 of test op");
     AddOutput("output", "output of test op");
     AddAttr<bool>("use_gpu", "force to use gpu kernel").SetDefault(false);

paddle/fluid/framework/details/computation_op_handle.h

@@ -36,7 +36,7 @@ struct ComputationOpHandle : public OpHandleBase {
  protected:
   void RunImpl() override;
 
-  virtual bool NeedWait(VarHandleBase *in_var);
+  bool NeedWait(VarHandleBase *in_var) override;
 
  private:
   std::unique_ptr<OperatorBase> op_;

paddle/fluid/framework/details/fetch_op_handle.h

@@ -42,7 +42,7 @@ struct FetchOpHandle : public OpHandleBase {
  protected:
   void RunImpl() override;
 
-  virtual void WaitInputVarGenerated(const platform::Place &place);
+  void WaitInputVarGenerated(const platform::Place &place) override;
 
  private:
   FeedFetchList *data_;

paddle/fluid/framework/details/multi_devices_graph_builder.cc

@@ -37,20 +37,26 @@ MultiDevSSAGraphBuilder::MultiDevSSAGraphBuilder(
     const std::string &loss_var_name,
     const std::unordered_set<std::string> &params,
     const std::vector<Scope *> &local_scopes,
-    platform::NCCLContextMap *nccl_ctxs, bool use_default_grad_scale)
+    platform::NCCLContextMap *nccl_ctxs, bool use_default_grad_scale,
+    bool balance_parameter_opt_between_cards)
     : loss_var_name_(loss_var_name),
       places_(places),
       local_scopes_(local_scopes),
-      nccl_ctxs_(nccl_ctxs) {
+      nccl_ctxs_(nccl_ctxs),
+      balance_parameter_opt_between_cards_(
+          balance_parameter_opt_between_cards) {
 #else
 MultiDevSSAGraphBuilder::MultiDevSSAGraphBuilder(
     const std::vector<platform::Place> &places,
     const std::string &loss_var_name,
     const std::unordered_set<std::string> &params,
-    const std::vector<Scope *> &local_scopes, bool use_default_grad_scale)
+    const std::vector<Scope *> &local_scopes, bool use_default_grad_scale,
+    bool balance_parameter_opt_between_cards)
     : loss_var_name_(loss_var_name),
       places_(places),
-      local_scopes_(local_scopes) {
+      local_scopes_(local_scopes),
+      balance_parameter_opt_between_cards_(
+          balance_parameter_opt_between_cards) {
 #endif
   for (auto &p : params) {
     grad_names_.insert(GradVarName(p));
@@ -124,6 +130,12 @@ std::unique_ptr<SSAGraph> MultiDevSSAGraphBuilder::Build(
   // Find "send" op first for split is in front of send.
   OpDesc *send_op = GetSendOpDesc(program);
 
+  size_t cur_device_id = 0;
+  std::vector<std::unordered_set<std::string>> var_name_on_devices;
+  std::vector<std::unordered_set<std::string>> bcast_var_name_set;
+  var_name_on_devices.resize(places_.size());
+  bcast_var_name_set.resize(places_.size());
+
   bool is_forwarding = true;
   for (auto *op : program.Block(0).AllOps()) {
     if (op->Type() == "send") {
@@ -139,12 +151,27 @@ std::unique_ptr<SSAGraph> MultiDevSSAGraphBuilder::Build(
       }
       is_forwarding = false;
     } else {
+      int op_dev_id = GetOpDeviceID(var_name_on_devices, *op);
+      if (op_dev_id == -1) {  // var on all device
         CreateComputationalOps(&result, *op, places_.size());
+      } else {
+        CreateComputationalOp(&result, *op, op_dev_id);
+        for (auto &var_name : op->OutputArgumentNames()) {
+          var_name_on_devices[op_dev_id].emplace(var_name);
+        }
+      }
       if (!is_forwarding && places_.size() > 1) {
         // Currently, we assume that once gradient is generated, it can be
         // broadcast, and each gradient is only broadcast once.
         for (auto &og : op->OutputArgumentNames()) {
           if (IsParameterGradientOnce(og, &og_has_been_broadcast)) {
+            if (balance_parameter_opt_between_cards_) {
+              CreateReduceOp(&result, og, cur_device_id);
+              var_name_on_devices[cur_device_id].emplace(og);
+              bcast_var_name_set[cur_device_id].emplace(
+                  og.substr(0, og.size() - strlen(kGradVarSuffix)));
+              cur_device_id = (cur_device_id + 1) % places_.size();
+            } else {
               if (IsSparseGradient(var_types, og)) {
                 CreateReduceOp(&result, og, 0);
                 CreateBroadcastOp(&result, og, 0);
@@ -156,7 +183,15 @@ std::unique_ptr<SSAGraph> MultiDevSSAGraphBuilder::Build(
         }
       }
     }
+  }
 
+  // Insert BCast Ops
+  for (size_t dev_id = 0; dev_id < bcast_var_name_set.size(); ++dev_id) {
+    auto &to_bcast_set = bcast_var_name_set[dev_id];
+    for (auto &bcast_name : to_bcast_set) {
+      CreateBroadcastOp(&result, bcast_name, dev_id);
+    }
+  }
   /*
     Dependency graph has been constructed. However, there are still data
     harzaeds need to be handled.
@@ -265,6 +300,26 @@ bool MultiDevSSAGraphBuilder::IsParameterGradientOnce(
   return is_pg_once;
 }
 
+int MultiDevSSAGraphBuilder::GetOpDeviceID(
+    const std::vector<std::unordered_set<std::string>> &var_name_on_devices,
+    const OpDesc &op) const {
+  if (!balance_parameter_opt_between_cards_) {
+    return -1;
+  }
+
+  int var_dev_id = -1;
+  for (auto &var_name : op.InputArgumentNames()) {
+    if (var_dev_id != -1) break;
+    for (size_t i = 0; i < var_name_on_devices.size(); ++i) {
+      if (var_name_on_devices[i].count(var_name)) {
+        var_dev_id = static_cast<int>(i);
+        break;
+      }
+    }
+  }
+  return var_dev_id;
+}
+
 void MultiDevSSAGraphBuilder::CreateScaleLossGradOp(SSAGraph *result) const {
   for (size_t i = 0; i < places_.size(); ++i) {
 // Insert ScaleCost OpHandle

paddle/fluid/framework/details/multi_devices_graph_builder.h

@@ -36,13 +36,15 @@ class MultiDevSSAGraphBuilder : public SSAGraphBuilder {
                           const std::unordered_set<std::string> &params,
                           const std::vector<Scope *> &local_scopes,
                           platform::NCCLContextMap *nccl_ctxs,
-                          bool use_default_grad_scale);
+                          bool use_default_grad_scale,
+                          bool balance_parameter_opt_between_cards);
 #else
   MultiDevSSAGraphBuilder(const std::vector<platform::Place> &places,
                           const std::string &loss_var_name,
                           const std::unordered_set<std::string> &params,
                           const std::vector<Scope *> &local_scopes,
-                          bool use_default_grad_scale);
+                          bool use_default_grad_scale,
+                          bool balance_parameter_opt_between_cards);
 #endif
 
   std::unique_ptr<SSAGraph> Build(const ProgramDesc &program) const override;
@@ -60,6 +62,7 @@ class MultiDevSSAGraphBuilder : public SSAGraphBuilder {
 #ifdef PADDLE_WITH_CUDA
   platform::NCCLContextMap *nccl_ctxs_;
 #endif
+  bool balance_parameter_opt_between_cards_;
   bool use_default_grad_scale_;
 
   bool IsScaleLossOp(const OpDesc &op) const;
@@ -84,6 +87,10 @@ class MultiDevSSAGraphBuilder : public SSAGraphBuilder {
       const std::string &og,
       std::unordered_set<std::string> *og_has_been_broadcast) const;
 
+  int GetOpDeviceID(
+      const std::vector<std::unordered_set<std::string>> &var_name_on_devices,
+      const OpDesc &op) const;
+
   void InsertNCCLAllReduceOp(SSAGraph *result, const std::string &og) const;
 
   void CreateBroadcastOp(SSAGraph *result, const std::string &p_name,

paddle/fluid/framework/details/op_registry.h

@@ -95,7 +95,10 @@ struct OpInfoFiller<T, kOpProtoAndCheckerMaker> {
   void operator()(const char* op_type, OpInfo* info) const {
     info->proto_ = new proto::OpProto;
     info->checker_ = new OpAttrChecker();
-    auto maker = T(info->proto_, info->checker_);
+    T maker;
+    maker.SetProto(info->proto_);
+    maker.SetChecker(info->checker_);
+    maker.Make();
     maker.Validate();
     info->proto_->set_type(op_type);
     PADDLE_ENFORCE(

paddle/fluid/framework/op_proto_maker.h

@@ -14,56 +14,57 @@ limitations under the License. */
 #pragma once
 
 #include <string>
+#include "glog/logging.h"
 #include "paddle/fluid/framework/attribute.h"
 #include "paddle/fluid/framework/framework.pb.h"
-
 namespace paddle {
 namespace framework {
 
 // this class not only make proto but also init attribute checkers.
 class OpProtoAndCheckerMaker {
  public:
-  using OpProto = proto::OpProto;
-  using OpAttrChecker = framework::OpAttrChecker;
-  OpProtoAndCheckerMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : proto_(proto), op_checker_(op_checker) {}
+  virtual void Make() = 0;
 
   virtual ~OpProtoAndCheckerMaker() {
-    PADDLE_ENFORCE(validated_, "should call Validate after build");
+    CHECK(validated_) << "should call Validate after build";
   }
 
+  void SetProto(proto::OpProto *proto) { proto_ = proto; }
+
+  void SetChecker(OpAttrChecker *attr_checker) { op_checker_ = attr_checker; }
+
   void Validate();
 
  protected:
   struct VariableBuilder {
-    OpProto::Var* var_;
+    proto::OpProto::Var *var_;
 
-    VariableBuilder& AsDuplicable() {
+    VariableBuilder &AsDuplicable() {
       var_->set_duplicable(true);
       return *this;
     }
 
-    VariableBuilder& AsIntermediate() {
+    VariableBuilder &AsIntermediate() {
       var_->set_intermediate(true);
       return *this;
     }
 
-    VariableBuilder& AsDispensable() {
+    VariableBuilder &AsDispensable() {
       var_->set_dispensable(true);
       return *this;
     }
   };
 
-  VariableBuilder AddInput(const std::string& name, const std::string& comment);
+  VariableBuilder AddInput(const std::string &name, const std::string &comment);
 
-  VariableBuilder AddOutput(const std::string& name,
-                            const std::string& comment);
+  VariableBuilder AddOutput(const std::string &name,
+                            const std::string &comment);
 
   template <typename T>
-  TypedAttrChecker<T>& AddAttr(const std::string& name,
-                               const std::string& comment,
+  TypedAttrChecker<T> &AddAttr(const std::string &name,
+                               const std::string &comment,
                                bool generated = false) {
-    auto* attr = proto_->add_attrs();
+    auto *attr = proto_->add_attrs();
     attr->set_name(name);
     attr->set_comment(comment);
     attr->set_generated(generated);
@@ -71,21 +72,14 @@ class OpProtoAndCheckerMaker {
     return op_checker_->AddAttrChecker<T>(name);
   }
 
-  void AddComment(const std::string& comment) { proto_->set_comment(comment); }
+  void AddComment(const std::string &comment) { proto_->set_comment(comment); }
 
  private:
   void CheckNoDuplicatedInOutAttrs();
 
-  OpProto* proto_;
-  OpAttrChecker* op_checker_;
+  proto::OpProto *proto_;
+  OpAttrChecker *op_checker_;
   bool validated_{false};
 };
-
-class NOPMaker : public OpProtoAndCheckerMaker {
- public:
-  NOPMaker(OpProto* proto, framework::OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {}
-};
-
 }  // namespace framework
 }  // namespace paddle

paddle/fluid/framework/op_proto_maker_test.cc

@@ -18,9 +18,7 @@ limitations under the License. */
 
 class TestAttrProtoMaker : public paddle::framework::OpProtoAndCheckerMaker {
  public:
-  TestAttrProtoMaker(paddle::framework::proto::OpProto* proto,
-                     paddle::framework::OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() {
     AddAttr<float>("scale", "scale of test op");
     AddAttr<float>("scale", "scale of test op");
   }
@@ -29,15 +27,16 @@ class TestAttrProtoMaker : public paddle::framework::OpProtoAndCheckerMaker {
 TEST(ProtoMaker, DuplicatedAttr) {
   paddle::framework::proto::OpProto op_proto;
   paddle::framework::OpAttrChecker op_checker;
-  auto proto_maker = TestAttrProtoMaker(&op_proto, &op_checker);
+  TestAttrProtoMaker proto_maker;
+  proto_maker.SetProto(&op_proto);
+  proto_maker.SetChecker(&op_checker);
+  proto_maker.Make();
   ASSERT_THROW(proto_maker.Validate(), paddle::platform::EnforceNotMet);
 }
 
 class TestInOutProtoMaker : public paddle::framework::OpProtoAndCheckerMaker {
  public:
-  TestInOutProtoMaker(paddle::framework::proto::OpProto* proto,
-                      paddle::framework::OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() {
     AddInput("input", "input of test op");
     AddInput("input", "input of test op");
   }
@@ -46,6 +45,9 @@ class TestInOutProtoMaker : public paddle::framework::OpProtoAndCheckerMaker {
 TEST(ProtoMaker, DuplicatedInOut) {
   paddle::framework::proto::OpProto op_proto;
   paddle::framework::OpAttrChecker op_checker;
-  auto proto_maker = TestInOutProtoMaker(&op_proto, &op_checker);
+  TestAttrProtoMaker proto_maker;
+  proto_maker.SetProto(&op_proto);
+  proto_maker.SetChecker(&op_checker);
+  proto_maker.Make();
   ASSERT_THROW(proto_maker.Validate(), paddle::platform::EnforceNotMet);
 }

paddle/fluid/framework/op_registry_test.cc

@@ -33,8 +33,7 @@ class CosineOp : public OperatorBase {
 
 class CosineOpProtoAndCheckerMaker : public OpProtoAndCheckerMaker {
  public:
-  CosineOpProtoAndCheckerMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() {
     AddInput("input", "input of cosine op");
     AddOutput("output", "output of cosine op");
     AddAttr<float>("scale", "scale of cosine op")
@@ -55,8 +54,7 @@ class MyTestOp : public OperatorBase {
 
 class MyTestOpProtoAndCheckerMaker : public OpProtoAndCheckerMaker {
  public:
-  MyTestOpProtoAndCheckerMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() {
     AddInput("input", "input of cosine op").AsDuplicable();
     AddOutput("output", "output of cosine op").AsIntermediate();
     auto my_checker = [](int i) {
@@ -212,10 +210,7 @@ namespace framework {
 
 class OpKernelTestMaker : public OpProtoAndCheckerMaker {
  public:
-  OpKernelTestMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
-    AddComment("NoGradOp, same input output. no Grad");
-  }
+  void Make() { AddComment("NoGradOp, same input output. no Grad"); }
 };
 
 class OpWithKernelTest : public OperatorWithKernel {
@@ -275,9 +270,9 @@ TEST(OperatorRegistrar, CUDA) {
 
 static int op_test_value = 0;
 
-using paddle::platform::DeviceContext;
 using paddle::platform::CPUDeviceContext;
 using paddle::platform::CUDADeviceContext;
+using paddle::platform::DeviceContext;
 
 namespace paddle {
 namespace framework {

paddle/fluid/framework/operator_test.cc

@@ -46,8 +46,7 @@ class OpWithoutKernelTest : public OperatorBase {
 
 class OpWithoutKernelCheckerMaker : public OpProtoAndCheckerMaker {
  public:
-  OpWithoutKernelCheckerMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() {
     AddInput("input", "input of test op");
     AddOutput("output", "output of test op");
     AddAttr<float>("scale", "scale of cosine op");
@@ -98,8 +97,7 @@ namespace framework {
 
 class OpKernelTestProtoAndCheckerMaker : public OpProtoAndCheckerMaker {
  public:
-  OpKernelTestProtoAndCheckerMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() {
     AddInput("x", "input of test op");
     AddOutput("y", "output of test op");
     AddAttr<float>("scale", "scale of cosine op")
@@ -137,9 +135,7 @@ class CPUKernelTest : public OpKernel<float> {
 class OpKernelTestMultiInputsProtoAndCheckerMaker
     : public OpProtoAndCheckerMaker {
  public:
-  OpKernelTestMultiInputsProtoAndCheckerMaker(OpProto* proto,
-                                              OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() {
     AddInput("xs", "inputs of test op").AsDuplicable();
     AddInput("k", "input of test op");
     AddOutput("ys", "outputs of test op").AsDuplicable();

paddle/fluid/framework/parallel_executor.cc

@@ -58,7 +58,7 @@ ParallelExecutor::ParallelExecutor(
     const std::unordered_set<std::string> &bcast_vars,
     const ProgramDesc &main_program, const std::string &loss_var_name,
     Scope *scope, const std::vector<Scope *> &local_scopes, bool allow_op_delay,
-    bool use_default_grad_scale)
+    bool use_default_grad_scale, bool balance_parameter_opt_between_cards)
     : member_(new ParallelExecutorPrivate(places)) {
   member_->global_scope_ = scope;
 
@@ -93,11 +93,12 @@ ParallelExecutor::ParallelExecutor(
 #ifdef PADDLE_WITH_CUDA
   details::MultiDevSSAGraphBuilder builder(
       member_->places_, loss_var_name, params, member_->local_scopes_,
-      member_->nccl_ctxs_.get(), use_default_grad_scale);
+      member_->nccl_ctxs_.get(), use_default_grad_scale,
+      balance_parameter_opt_between_cards);
 #else
-  details::MultiDevSSAGraphBuilder builder(member_->places_, loss_var_name,
-                                           params, member_->local_scopes_,
-                                           use_default_grad_scale);
+  details::MultiDevSSAGraphBuilder builder(
+      member_->places_, loss_var_name, params, member_->local_scopes_,
+      use_default_grad_scale, balance_parameter_opt_between_cards);
 #endif
   auto graph = builder.Build(main_program);
 

paddle/fluid/framework/parallel_executor.h

@@ -40,7 +40,8 @@ class ParallelExecutor {
                             const ProgramDesc& main_program,
                             const std::string& loss_var_name, Scope* scope,
                             const std::vector<Scope*>& local_scopes,
-                            bool allow_op_delay, bool use_default_grad_scale);
+                            bool allow_op_delay, bool use_default_grad_scale,
+                            bool balance_parameter_opt_between_cards);
 
   ~ParallelExecutor();
 

paddle/fluid/framework/var_type_inference_test.cc

@@ -24,8 +24,7 @@ namespace framework {
 
 class SumOpMaker : public OpProtoAndCheckerMaker {
  public:
-  SumOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() {
     AddInput("X", "").AsDuplicable();
     AddOutput("Out", "");
     AddComment("");

paddle/fluid/operators/CMakeLists.txt

@@ -166,6 +166,8 @@ function(op_library TARGET)
       # NOTE(*): activation use macro to regist the kernels, set use_op manually.
       if(${TARGET} STREQUAL "activation")
         file(APPEND ${pybind_file} "USE_OP(relu);\n")
+      elseif(${TARGET} STREQUAL "reduce")
+        file(APPEND ${pybind_file} "USE_OP(reduce_sum);\n")
       else()
         file(APPEND ${pybind_file} "USE_OP(${TARGET});\n")
       endif()
@@ -268,6 +270,11 @@ foreach(src ${READER_LIBRARY})
     set(OP_LIBRARY ${src} ${OP_LIBRARY})
 endforeach()
 
+add_subdirectory(detection)
+foreach(src ${DETECTION_LIBRARY})
+    set(OP_LIBRARY ${src} ${OP_LIBRARY})
+endforeach()
+
 set(GLOB_OP_LIB ${OP_LIBRARY} CACHE INTERNAL "Global OP library")
 
 cc_test(gather_test SRCS gather_test.cc DEPS tensor)

paddle/fluid/operators/accuracy_op.cc

@@ -63,8 +63,7 @@ class AccuracyOp : public framework::OperatorWithKernel {
 
 class AccuracyOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  AccuracyOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     // TODO(typhoonzero): support both inference value and indices.
     AddInput("Out", "The network output of topk (inferences)");
     AddInput("Indices", "The the network output of topk (indices)");

paddle/fluid/operators/activation_op.cc

@@ -23,8 +23,7 @@ namespace operators {
   class OP_NAME##OpMaker                                                \
       : public ::paddle::framework::OpProtoAndCheckerMaker {            \
    public:                                                              \
-    OP_NAME##OpMaker(OpProto *proto, OpAttrChecker *op_checker)            \
-        : ::paddle::framework::OpProtoAndCheckerMaker(proto, op_checker) { \
+    void Make() override {                                              \
       AddInput("X", "Input of " #OP_NAME "operator");                   \
       AddOutput("Out", "Output of" #OP_NAME "operator");                \
       AddAttr<bool>("use_mkldnn",                                       \
@@ -204,8 +203,7 @@ $$out = \frac{x}{1 + |x|}$$
 
 class LeakyReluOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  LeakyReluOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : framework::OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X", "Input of LeakyRelu operator");
     AddOutput("Out", "Output of LeakyRelu operator");
     AddAttr<float>("alpha", "The small negative slope").SetDefault(0.02f);
@@ -220,8 +218,7 @@ $out = \max(x, \alpha * x)$
 
 class SoftShrinkOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  SoftShrinkOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : framework::OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X", "Input of Softshrink operator");
     AddOutput("Out", "Output of Softshrink operator");
     AddAttr<float>("lambda", "non-negative offset").SetDefault(0.5f);
@@ -242,8 +239,7 @@ $$
 
 class HardShrinkOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  HardShrinkOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : framework::OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X", "Input of HardShrink operator");
     AddOutput("Out", "Output of HardShrink operator");
     AddAttr<float>("threshold", "The value of threshold for HardShrink")
@@ -265,8 +261,7 @@ $$
 
 class BReluOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  BReluOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : framework::OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X", "Input of BRelu operator");
     AddOutput("Out", "Output of BRelu operator");
     AddAttr<float>("t_min", "The min marginal value of BRelu")
@@ -284,8 +279,7 @@ $out = \max(\min(x, t_{min}), t_{max})$
 
 class SoftReluOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  SoftReluOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : framework::OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X", "Input of SoftRelu operator");
     AddOutput("Out", "Output of SoftRelu operator");
     AddAttr<float>("threshold", "The threshold value of SoftRelu")
@@ -301,8 +295,7 @@ $out = \ln(1 + \exp(\max(\min(x, threshold), threshold))$
 
 class ELUOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  ELUOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : framework::OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X", "Input of ELU operator");
     AddOutput("Out", "Output of ELU operator");
     AddAttr<float>("alpha", "The alpha value of ELU").SetDefault(1.0f);
@@ -320,8 +313,7 @@ $out = \max(0, x) + \min(0, \alpha * (e^x - 1))$
 
 class Relu6OpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  Relu6OpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : framework::OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X", "Input of Relu6 operator");
     AddOutput("Out", "Output of Relu6 operator");
     AddAttr<float>("threshold", "The threshold value of Relu6")
@@ -337,8 +329,7 @@ $out = \min(\max(0, x), 6)$
 
 class PowOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  PowOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : framework::OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X", "Input of Pow operator");
     AddOutput("Out", "Output of Pow operator");
     AddAttr<float>("factor", "The exponential factor of Pow").SetDefault(1.0f);
@@ -353,8 +344,7 @@ $out = x^{factor}$
 
 class STanhOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  STanhOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : framework::OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X", "Input of STanh operator");
     AddOutput("Out", "Output of STanh operator");
     AddAttr<float>("scale_a", "The scale parameter of a for the input")
@@ -372,8 +362,7 @@ $$out = b * \frac{e^{a * x} - e^{-a * x}}{e^{a * x} + e^{-a * x}}$$
 
 class ThresholdedReluOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  ThresholdedReluOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : framework::OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X", "Input of ThresholdedRelu operator");
     AddOutput("Out", "Output of ThresholdedRelu operator");
     AddAttr<float>("threshold", "The threshold location of activation")
@@ -394,8 +383,7 @@ $$
 
 class HardSigmoidOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  HardSigmoidOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : framework::OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X", "Input of HardSigmoid operator");
     AddOutput("Out", "Output of HardSigmoid operator");
     AddAttr<float>("slope", "Slope for linear approximation of sigmoid")
@@ -420,8 +408,7 @@ It is recommended to use the defaults for this activation.
 
 class SwishOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  SwishOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : framework::OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X", "Input of Swish operator");
     AddOutput("Out", "Output of Swish operator");
     AddAttr<float>("beta", "Constant beta of swish operator").SetDefault(1.0f);

paddle/fluid/operators/adadelta_op.cc

@@ -66,8 +66,7 @@ class AdadeltaOp : public framework::OperatorWithKernel {
 
 class AdadeltaOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  AdadeltaOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("Param", "(Tensor) Input parameter");
     AddInput("Grad", "(Tensor) Input gradient");
     AddInput("AvgSquaredGrad", "(Tensor) Input average of squared gradient");

paddle/fluid/operators/adagrad_op.cc

@@ -67,8 +67,7 @@ class AdagradOp : public framework::OperatorWithKernel {
 
 class AdagradOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  AdagradOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("Param", "(Tensor) Input parameter");
     AddInput("Grad", "(Tensor) Input gradient");
     AddInput("Moment", "(Tensor) Second moment");

paddle/fluid/operators/adam_op.cc

@@ -80,8 +80,7 @@ class AdamOp : public framework::OperatorWithKernel {
 
 class AdamOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  AdamOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("Param", "(Tensor) Input parameter");
     AddInput("Grad", "(Tensor) Input gradient");
     AddInput("LearningRate", "(Tensor) Learning rate");

paddle/fluid/operators/adamax_op.cc

@@ -74,8 +74,7 @@ class AdamaxOp : public framework::OperatorWithKernel {
 
 class AdamaxOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  AdamaxOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("Param", "(Tensor) Input parameter");
     AddInput("Grad", "(Tensor) Input gradient");
     AddInput("LearningRate", "(Tensor) Learning rate");

paddle/fluid/operators/array_to_lod_tensor_op.cc

@@ -123,8 +123,7 @@ class ArrayToLoDTensorOp : public framework::OperatorBase {
 
 class ArrayToLoDTensorOpProtoMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  ArrayToLoDTensorOpProtoMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X",
              "(std::vector<LodTensor>) A vector of tensors that is going to "
              "be casted to a big LoDTensor.");

paddle/fluid/operators/assign_op.cc

@@ -94,8 +94,7 @@ class AssignOp : public framework::OperatorBase {
 
 class AssignOpProtoMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  AssignOpProtoMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X",
              "(LoDTensor, SelectedRows or LoDTensorArray) The input variable "
              "could be LoDTensor, SelectedRows or LoDTensorArray.")

paddle/fluid/operators/assign_value_op.cc

@@ -45,8 +45,7 @@ class AssignValueOp : public framework::OperatorWithKernel {
 
 class AssignValueOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  AssignValueOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddOutput("Out", "(Tensor) Output tensor of assign_value operator.");
     AddAttr<std::vector<int>>("shape",
                               "(vector<int>) "

paddle/fluid/operators/auc_op.cc

@@ -50,8 +50,7 @@ class AucOp : public framework::OperatorWithKernel {
 
 class AucOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  AucOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("Out",
              "A floating point 2D tensor, values are in the range [0, 1]."
              "Each row is sorted in descending order. This input should be the"

paddle/fluid/operators/average_accumulates_op.cc

@@ -111,8 +111,7 @@ class AverageAccumulatesOp : public framework::OperatorWithKernel {
 
 class AverageAccumulatesOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  AverageAccumulatesOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("param", "(Tensor), The parameter to be accumulated.");
     AddInput("in_sum_1",
              "(Tensor), A tensor used to store the parameter "

paddle/fluid/operators/batch_norm_op.cc

@@ -126,8 +126,7 @@ class BatchNormOp : public framework::OperatorWithKernel {
 
 class BatchNormOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  BatchNormOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddAttr<bool>("is_test", "").SetDefault(false);
     AddAttr<float>("momentum", "").SetDefault(0.9);
     AddAttr<float>("epsilon", "")

paddle/fluid/operators/batch_size_like.h

@@ -53,8 +53,7 @@ class BatchSizeLikeOp : public framework::OperatorWithKernel {
 
 class BatchSizeLikeOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  BatchSizeLikeOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : framework::OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() final {
     AddInput("Input",
              "(Tensor) Tensor "
              "whose input_dim_idx'th dimension specifies the batch_size");
@@ -68,7 +67,11 @@ class BatchSizeLikeOpMaker : public framework::OpProtoAndCheckerMaker {
     AddAttr<int>("output_dim_idx",
                  "(int, default 0) The index of output's batch size dimension")
         .SetDefault(0);
+    Apply();
   }
+
+ protected:
+  virtual void Apply() = 0;
 };
 
 }  // namespace operators

paddle/fluid/operators/beam_search_decode_op.cc

@@ -134,8 +134,7 @@ class BeamSearchDecodeOp : public framework::OperatorBase {
 
 class BeamSearchDecodeOpProtoMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  BeamSearchDecodeOpProtoMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : framework::OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("Ids",
              "(LodTensorArray)"
              "score of the candidate words in each step");

paddle/fluid/operators/beam_search_op.cc

@@ -197,8 +197,7 @@ std::string ItemToString(const BeamSearch::Item &item) {
 
 class BeamSearchOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  BeamSearchOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     // inputs and outputs stored in proto
     AddInput("pre_ids", "ids in previous step");
     AddInput("ids", "a LoDTensor of shape of [None,k]");

paddle/fluid/operators/bilinear_interp_op.cc

@@ -41,8 +41,7 @@ class BilinearInterpOp : public framework::OperatorWithKernel {
 
 class BilinearInterpOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  BilinearInterpOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X",
              "(Tensor) The input tensor of bilinear interpolation, "
              "This is a 4-D tensor with shape of (N x C x h x w)");

paddle/fluid/operators/bilinear_tensor_product_op.cc

@@ -65,8 +65,7 @@ class BilinearTensorProductOp : public framework::OperatorWithKernel {
 
 class BilinearTensorProductOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  BilinearTensorProductOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X", "The first input of bilinear_tensor_product operator.");
     AddInput("Y", "The second input of bilinear_tensor_product operator.");
     AddInput("Weight",

paddle/fluid/operators/cast_op.cc

@@ -21,8 +21,7 @@ namespace operators {
 
 class CastOpProtoMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  CastOpProtoMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X", "The input tensor of cast op");
     AddOutput("Out", "The output tensor of cast op");
     AddAttr<int>("out_dtype", "output data type");

paddle/fluid/operators/channel_close_op.cc

@@ -50,8 +50,7 @@ class ChannelCloseOpOpInferShape : public framework::InferShapeBase {
 
 class ChannelCloseOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  ChannelCloseOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput(kChannel,
              "The Channel Variable that should be closed by"
              " the ChannelClose Op.");

paddle/fluid/operators/channel_create_op.cc

@@ -91,8 +91,7 @@ class ChannelCreateOpOpInferShape : public framework::InferShapeBase {
 
 class ChannelCreateOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  ChannelCreateOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddOutput(kOutput,
               "The object of a Channel type created by ChannelCreate Op.");
     AddAttr<int>("capacity", "The size of the buffer of Channel.")

paddle/fluid/operators/channel_recv_op.cc

@@ -72,8 +72,7 @@ class ChannelRecvOp : public framework::OperatorBase {
 
 class ChannelRecvOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  ChannelRecvOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput(Channel,
              "(Channel) A variable which \"receives\" the a value sent"
              "to it by a channel_send op.")

paddle/fluid/operators/channel_send_op.cc

@@ -57,8 +57,7 @@ class ChannelSendOp : public framework::OperatorBase {
 
 class ChannelSendOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  ChannelSendOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput(Channel,
              "(Channel) A variable which \"sends\" the passed in value to "
              "a listening receiver.")

paddle/fluid/operators/chunk_eval_op.cc

@@ -66,8 +66,7 @@ class ChunkEvalOp : public framework::OperatorWithKernel {
 
 class ChunkEvalOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  ChunkEvalOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("Inference",
              "(Tensor, default: Tensor<int64_t>). "
              "Predictions from the network.");

paddle/fluid/operators/clip_by_norm_op.cc

@@ -37,8 +37,7 @@ class ClipByNormOp : public framework::OperatorWithKernel {
 
 class ClipByNormOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  ClipByNormOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X",
              "(Tensor) The input of clip_by_norm op."
              "The number of dimensions must be between [1, 9].");

paddle/fluid/operators/clip_op.cc

@@ -38,8 +38,7 @@ class ClipOp : public framework::OperatorWithKernel {
 template <typename AttrType>
 class ClipOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  ClipOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X",
              "(Tensor)The input of clip op."
              "The number of dimensions must be between [1, 9].");

paddle/fluid/operators/compare_op.cc

@@ -21,8 +21,7 @@ namespace operators {
 template <typename OpComment>
 class CompareOpProtoMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  CompareOpProtoMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     OpComment comment;
     AddInput("X",
              string::Sprintf("(LoDTensor) the left hand operand of %s operator",

paddle/fluid/operators/concat_op.cc

@@ -63,8 +63,7 @@ class ConcatOp : public framework::OperatorWithKernel {
 
 class ConcatOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  ConcatOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X", "Input tensors of concat operator.").AsDuplicable();
     AddOutput("Out", "Output tensor of concat operator.");
     AddAttr<int>("axis",

paddle/fluid/operators/conditional_block_op.cc

@@ -108,8 +108,7 @@ class ConditionalBlockOp : public ConditionalOp {
 
 class ConditionalBlockOpProtoMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  ConditionalBlockOpProtoMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X",
              "The conditional variable of this operator. If X is empty, the "
              "whole sub-block will not be executed.")

paddle/fluid/operators/conv_op.cc

@@ -106,8 +106,7 @@ framework::OpKernelType ConvOp::GetExpectedKernelType(
                                  library);
 }
 
-Conv2DOpMaker::Conv2DOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-    : OpProtoAndCheckerMaker(proto, op_checker) {
+void Conv2DOpMaker::Make() {
   AddInput(
       "Input",
       "(Tensor) The input tensor of convolution operator. "
@@ -200,8 +199,7 @@ $$
 )DOC");
 }
 
-Conv3DOpMaker::Conv3DOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-    : OpProtoAndCheckerMaker(proto, op_checker) {
+void Conv3DOpMaker::Make() {
   AddInput(
       "Input",
       "(Tensor) The input tensor of convolution operator. "

paddle/fluid/operators/conv_op.h

@@ -60,12 +60,12 @@ inline bool IsExpand(const std::vector<int64_t>& filter_dim,
 // operator implementations can reuse the code.
 class Conv2DOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  Conv2DOpMaker(OpProto* proto, OpAttrChecker* op_checker);
+  void Make() override;
 };
 
 class Conv3DOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  Conv3DOpMaker(OpProto* proto, OpAttrChecker* op_checker);
+  void Make() override;
 };
 
 class ConvOp : public framework::OperatorWithKernel {

paddle/fluid/operators/conv_shift_op.cc

@@ -75,8 +75,7 @@ class ConvShiftGradOp : public framework::OperatorWithKernel {
 
 class ConvShiftOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  ConvShiftOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : framework::OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X",
              "(Tensor, default Tensor<float>), a 2-D tensor with shape B x M, "
              "where B is the batch size and M is the data dimension.");

paddle/fluid/operators/conv_transpose_op.cc

@@ -84,9 +84,7 @@ framework::OpKernelType ConvTransposeOp::GetExpectedKernelType(
       layout_, library_);
 }
 
-Conv2DTransposeOpMaker::Conv2DTransposeOpMaker(OpProto* proto,
-                                               OpAttrChecker* op_checker)
-    : OpProtoAndCheckerMaker(proto, op_checker) {
+void Conv2DTransposeOpMaker::Make() {
   AddInput(
       "Input",
       "(Tensor) The input tensor of convolution transpose operator. "
@@ -168,9 +166,7 @@ Example:
 )DOC");
 }
 
-Conv3DTransposeOpMaker::Conv3DTransposeOpMaker(OpProto* proto,
-                                               OpAttrChecker* op_checker)
-    : OpProtoAndCheckerMaker(proto, op_checker) {
+void Conv3DTransposeOpMaker::Make() {
   AddInput("Input",
            "(Tensor) The input tensor of convolution transpose operator."
            "The format of input tensor is NCDHW. Where N is batch size, C is "

paddle/fluid/operators/conv_transpose_op.h

@@ -30,12 +30,12 @@ using DDim = framework::DDim;
 // operator implementations can reuse the code.
 class Conv2DTransposeOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  Conv2DTransposeOpMaker(OpProto* proto, OpAttrChecker* op_checker);
+  void Make() override;
 };
 
 class Conv3DTransposeOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  Conv3DTransposeOpMaker(OpProto* proto, OpAttrChecker* op_checker);
+  void Make() override;
 };
 
 class ConvTransposeOp : public framework::OperatorWithKernel {

paddle/fluid/operators/cos_sim_op.cc

@@ -62,8 +62,7 @@ class CosSimOp : public framework::OperatorWithKernel {
 
 class CosSimOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  CosSimOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X", "The 1st input of cos_sim op.");
     AddInput("Y", "The 2nd input of cos_sim op.");
     AddOutput("Out", "The output of cos_sim op.");

paddle/fluid/operators/crf_decoding_op.cc

@@ -18,8 +18,7 @@ namespace paddle {
 namespace operators {
 class CRFDecodingOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  CRFDecodingOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("Emission",
              "(LoDTensor, default: LoDTensor<float>). A LoDTensor with shape "
              "[N x D] where N is the size of the mini-batch and D is the total "

paddle/fluid/operators/crop_op.cc

@@ -52,8 +52,7 @@ class CropOp : public framework::OperatorWithKernel {
 
 class CropOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  CropOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X",
              "The input of pad op. "
              "The input should be a k-D tensor(k > 0 and k < 7).");

paddle/fluid/operators/cross_entropy_op.cc

@@ -111,8 +111,7 @@ class CrossEntropyGradientOp : public framework::OperatorWithKernel {
 
 class CrossEntropyOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  CrossEntropyOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X",
              "(Tensor, default Tensor<float>), a 2-D tensor with shape [N x D],"
              " where N is the batch size and D is the number of classes. "

paddle/fluid/operators/ctc_align_op.cc

@@ -44,8 +44,7 @@ class CTCAlignOp : public framework::OperatorWithKernel {
 
 class CTCAlignOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  CTCAlignOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("Input",
              "(LodTensor, default: LoDTensor<int>), Its shape is "
              "[Lp, 1], where Lp is the sum of all input sequences' length.");

paddle/fluid/operators/cumsum_op.cc

@@ -29,8 +29,7 @@ class CumOp : public framework::OperatorWithKernel {
 
 class CumsumOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  CumsumOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : framework::OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X", "Input of Cumsum operator");
     AddOutput("Out", "Output of Cumsum operator");
     AddAttr<int>("axis",

paddle/fluid/operators/decayed_adagrad_op.cc

@@ -62,8 +62,7 @@ class DecayedAdagradOp : public framework::OperatorWithKernel {
 
 class DecayedAdagradOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  DecayedAdagradOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("Param", "(Tensor) Input parameter");
     AddInput("Grad", "(Tensor) Input gradient");
     AddInput("Moment", "(Tensor) Second moment");

paddle/fluid/operators/delete_var_op.cc

@@ -34,8 +34,7 @@ class DeleteVarOp : public framework::OperatorBase {
 
 class DeleteVarOpInfoMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  DeleteVarOpInfoMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X", "The input of delete op").AsDuplicable();
     AddComment(R"DOC(
 Delete Operator.

paddle/fluid/operators/detection/CMakeLists.txt

+set(LOCAL_DETECTION_LIBS)
+
+function(detection_library TARGET_NAME)
+    set(oneValueArgs "")
+    set(multiValueArgs SRCS DEPS)
+    set(options "")
+    set(common_deps op_registry)
+    set(pybind_flag 0)
+    cmake_parse_arguments(detection_library "${options}" "${oneValueArgs}"
+            "${multiValueArgs}" ${ARGN})
+    op_library(${TARGET_NAME} SRCS ${detection_library_SRCS} DEPS ${common_deps} ${detection_library_DEPS})
+    set(LOCAL_DETECTION_LIBS
+            ${TARGET_NAME}
+            ${LOCAL_DETECTION_LIBS}
+        PARENT_SCOPE)
+endfunction()
+
+detection_library(bipartite_match_op SRCS bipartite_match_op.cc)
+detection_library(box_coder_op SRCS box_coder_op.cc box_coder_op.cu)
+detection_library(iou_similarity_op SRCS iou_similarity_op.cc
+iou_similarity_op.cu)
+detection_library(mine_hard_examples_op SRCS mine_hard_examples_op.cc)
+detection_library(multiclass_nms_op SRCS multiclass_nms_op.cc)
+detection_library(prior_box_op SRCS prior_box_op.cc prior_box_op.cu)
+detection_library(target_assign_op SRCS target_assign_op.cc
+target_assign_op.cu)
+
+# Export local libraries to parent
+set(DETECTION_LIBRARY ${LOCAL_DETECTION_LIBS} PARENT_SCOPE)

paddle/fluid/operators/bipartite_match_op.cc → paddle/fluid/operators/detection/bipartite_match_op.cc

@@ -182,8 +182,7 @@ class BipartiteMatchKernel : public framework::OpKernel<T> {
 
 class BipartiteMatchOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  BipartiteMatchOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput(
         "DistMat",
         "(LoDTensor or Tensor) this input is a 2-D LoDTensor with shape "

paddle/fluid/operators/box_coder_op.cc → paddle/fluid/operators/detection/box_coder_op.cc

@@ -9,7 +9,7 @@ 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. */
 
-#include "paddle/fluid/operators/box_coder_op.h"
+#include "paddle/fluid/operators/detection/box_coder_op.h"
 
 namespace paddle {
 namespace operators {
@@ -60,8 +60,7 @@ class BoxCoderOp : public framework::OperatorWithKernel {
 
 class BoxCoderOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  BoxCoderOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput(
         "PriorBox",
         "(Tensor, default Tensor<float>) "

paddle/fluid/operators/box_coder_op.cu → paddle/fluid/operators/detection/box_coder_op.cu

@@ -9,7 +9,7 @@ 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. */
 
-#include "paddle/fluid/operators/box_coder_op.h"
+#include "paddle/fluid/operators/detection/box_coder_op.h"
 #include "paddle/fluid/platform/cuda_primitives.h"
 
 namespace paddle {

paddle/fluid/operators/iou_similarity_op.cc → paddle/fluid/operators/detection/iou_similarity_op.cc

@@ -12,7 +12,7 @@ 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. */
 
-#include "paddle/fluid/operators/iou_similarity_op.h"
+#include "paddle/fluid/operators/detection/iou_similarity_op.h"
 
 namespace paddle {
 namespace operators {
@@ -42,8 +42,7 @@ class IOUSimilarityOp : public framework::OperatorWithKernel {
 
 class IOUSimilarityOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  IOUSimilarityOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X",
              "(LoDTensor, default LoDTensor<float>) "
              "Box list X is a 2-D LoDTensor with shape [N, 4] holds N boxes, "

paddle/fluid/operators/iou_similarity_op.cu → paddle/fluid/operators/detection/iou_similarity_op.cu

@@ -12,7 +12,7 @@ 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. */
 
-#include "paddle/fluid/operators/iou_similarity_op.h"
+#include "paddle/fluid/operators/detection/iou_similarity_op.h"
 
 namespace ops = paddle::operators;
 REGISTER_OP_CUDA_KERNEL(

paddle/fluid/operators/mine_hard_examples_op.cc → paddle/fluid/operators/detection/mine_hard_examples_op.cc

@@ -253,8 +253,7 @@ class MineHardExamplesOp : public framework::OperatorWithKernel {
 
 class MineHardExamplesOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  MineHardExamplesOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput(
         "ClsLoss",
         "(Tensor, default Tensor<float>), The classification loss with shape "

paddle/fluid/operators/multiclass_nms_op.cc → paddle/fluid/operators/detection/multiclass_nms_op.cc

@@ -309,8 +309,7 @@ class MultiClassNMSKernel : public framework::OpKernel<T> {
 
 class MultiClassNMSOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  MultiClassNMSOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("BBoxes",
              "(Tensor) A 3-D Tensor with shape [N, M, 4] represents the "
              "predicted locations of M bounding bboxes, N is the batch size. "

paddle/fluid/operators/prior_box_op.cc → paddle/fluid/operators/detection/prior_box_op.cc

@@ -12,7 +12,7 @@ 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. */
 
-#include "paddle/fluid/operators/prior_box_op.h"
+#include "paddle/fluid/operators/detection/prior_box_op.h"
 
 namespace paddle {
 namespace operators {
@@ -79,8 +79,7 @@ class PriorBoxOp : public framework::OperatorWithKernel {
 
 class PriorBoxOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  PriorBoxOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("Input",
              "(Tensor, default Tensor<float>), "
              "the input feature data of PriorBoxOp, The layout is NCHW.");

paddle/fluid/operators/prior_box_op.cu → paddle/fluid/operators/detection/prior_box_op.cu

@@ -12,7 +12,7 @@ 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. */
 
-#include "paddle/fluid/operators/prior_box_op.h"
+#include "paddle/fluid/operators/detection/prior_box_op.h"
 
 namespace paddle {
 namespace operators {

paddle/fluid/operators/target_assign_op.cc → paddle/fluid/operators/detection/target_assign_op.cc

@@ -12,7 +12,7 @@ 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. */
 
-#include "paddle/fluid/operators/target_assign_op.h"
+#include "paddle/fluid/operators/detection/target_assign_op.h"
 
 namespace paddle {
 namespace operators {
@@ -65,8 +65,7 @@ class TargetAssignOp : public framework::OperatorWithKernel {
 
 class TargetAssignOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  TargetAssignOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X",
              "(LoDTensor), This input is a 3D LoDTensor with shape [M, P, K]. "
              "Some elements in X will be assigned to Out based on the "

paddle/fluid/operators/target_assign_op.cu → paddle/fluid/operators/detection/target_assign_op.cu

@@ -12,7 +12,7 @@ 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. */
 
-#include "paddle/fluid/operators/target_assign_op.h"
+#include "paddle/fluid/operators/detection/target_assign_op.h"
 
 namespace paddle {
 namespace operators {

paddle/fluid/operators/detection_map_op.cc

@@ -78,8 +78,7 @@ class DetectionMAPOp : public framework::OperatorWithKernel {
 
 class DetectionMAPOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  DetectionMAPOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("DetectRes",
              "(LoDTensor) A 2-D LoDTensor with shape [M, 6] represents the "
              "detections. Each row has 6 values: "

paddle/fluid/operators/dropout_op.cc

@@ -37,8 +37,7 @@ class DropoutOp : public framework::OperatorWithKernel {
 
 class DropoutOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  DropoutOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X", "The input of dropout op.");
     AddOutput("Out", "The output of dropout op.");
     AddOutput("Mask", "The random sampled dropout mask.").AsIntermediate();

paddle/fluid/operators/edit_distance_op.cc

@@ -49,8 +49,7 @@ class EditDistanceOp : public framework::OperatorWithKernel {
 
 class EditDistanceOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  EditDistanceOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("Hyps",
              "(2-D LoDTensor<int64_t>, 2nd dim. equal to 1) "
              "The indices for hypothesis strings.");

paddle/fluid/operators/elementwise_add_op.cc

@@ -14,26 +14,8 @@ limitations under the License. */
 
 #include "paddle/fluid/operators/elementwise_add_op.h"
 #include "paddle/fluid/operators/elementwise_op.h"
-
-namespace paddle {
-namespace operators {
-class ElementwiseAddOpMaker : public ElementwiseOpMaker {
- public:
-  ElementwiseAddOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : ElementwiseOpMaker(proto, op_checker) {
-    SetComment("Add", "Out = X + Y");
-    AddComment(comment_);
-  }
-};
-}  // namespace operators
-}  // namespace paddle
-
 namespace ops = paddle::operators;
-REGISTER_OPERATOR(elementwise_add, ops::ElementwiseOp,
-                  ops::ElementwiseAddOpMaker, ops::ElementwiseOpInferVarType,
-                  paddle::framework::DefaultGradOpDescMaker<true>);
-REGISTER_OPERATOR(elementwise_add_grad, ops::ElementwiseOpGrad);
-
+REGISTER_ELEMWISE_OP(elementwise_add, "Add", "Out = X + Y");
 REGISTER_OP_CPU_KERNEL(
     elementwise_add,
     ops::ElementwiseAddKernel<paddle::platform::CPUDeviceContext, float>,

paddle/fluid/operators/elementwise_div_op.cc

@@ -14,26 +14,8 @@ limitations under the License. */
 
 #include "paddle/fluid/operators/elementwise_div_op.h"
 #include "paddle/fluid/operators/elementwise_op.h"
-
-namespace paddle {
-namespace operators {
-class ElementwiseDivOpMaker : public ElementwiseOpMaker {
- public:
-  ElementwiseDivOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : ElementwiseOpMaker(proto, op_checker) {
-    SetComment("Div", "Out = X / Y");
-    AddComment(comment_);
-  }
-};
-
-}  // namespace operators
-}  // namespace paddle
-
 namespace ops = paddle::operators;
-REGISTER_OPERATOR(elementwise_div, ops::ElementwiseOp,
-                  ops::ElementwiseDivOpMaker,
-                  paddle::framework::DefaultGradOpDescMaker<true>);
-REGISTER_OPERATOR(elementwise_div_grad, ops::ElementwiseOpGrad);
+REGISTER_ELEMWISE_OP(elementwise_div, "Div", "Out = X / Y");
 REGISTER_OP_CPU_KERNEL(
     elementwise_div,
     ops::ElementwiseDivKernel<paddle::platform::CPUDeviceContext, float>,

paddle/fluid/operators/elementwise_max_op.cc

@@ -14,25 +14,8 @@ limitations under the License. */
 
 #include "paddle/fluid/operators/elementwise_max_op.h"
 #include "paddle/fluid/operators/elementwise_op.h"
-
-namespace paddle {
-namespace operators {
-class ElementwiseMaxOpMaker : public ElementwiseOpMaker {
- public:
-  ElementwiseMaxOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : ElementwiseOpMaker(proto, op_checker) {
-    SetComment("Max", "Out = max(X, Y)");
-    AddComment(comment_);
-  }
-};
-}  // namespace operators
-}  // namespace paddle
-
 namespace ops = paddle::operators;
-REGISTER_OPERATOR(elementwise_max, ops::ElementwiseOp,
-                  ops::ElementwiseMaxOpMaker,
-                  paddle::framework::DefaultGradOpDescMaker<true>);
-REGISTER_OPERATOR(elementwise_max_grad, ops::ElementwiseOpGrad);
+REGISTER_ELEMWISE_OP(elementwise_max, "Max", "Out = max(X, Y)");
 REGISTER_OP_CPU_KERNEL(
     elementwise_max,
     ops::ElementwiseMaxKernel<paddle::platform::CPUDeviceContext, float>,

paddle/fluid/operators/elementwise_min_op.cc

@@ -14,25 +14,8 @@ limitations under the License. */
 
 #include "paddle/fluid/operators/elementwise_min_op.h"
 #include "paddle/fluid/operators/elementwise_op.h"
-
-namespace paddle {
-namespace operators {
-class ElementwiseMinOpMaker : public ElementwiseOpMaker {
- public:
-  ElementwiseMinOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : ElementwiseOpMaker(proto, op_checker) {
-    SetComment("Max", "Out = min(X, Y)");
-    AddComment(comment_);
-  }
-};
-}  // namespace operators
-}  // namespace paddle
-
 namespace ops = paddle::operators;
-REGISTER_OPERATOR(elementwise_min, ops::ElementwiseOp,
-                  ops::ElementwiseMinOpMaker,
-                  paddle::framework::DefaultGradOpDescMaker<true>);
-REGISTER_OPERATOR(elementwise_min_grad, ops::ElementwiseOpGrad);
+REGISTER_ELEMWISE_OP(elementwise_min, "Min", "Out = min(X, Y)");
 REGISTER_OP_CPU_KERNEL(
     elementwise_min,
     ops::ElementwiseMinKernel<paddle::platform::CPUDeviceContext, float>,

paddle/fluid/operators/elementwise_mul_op.cc

@@ -14,27 +14,8 @@ limitations under the License. */
 
 #include "paddle/fluid/operators/elementwise_mul_op.h"
 #include "paddle/fluid/operators/elementwise_op.h"
-
-namespace paddle {
-namespace operators {
-
-class ElementwiseMulOpMaker : public ElementwiseOpMaker {
- public:
-  ElementwiseMulOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : ElementwiseOpMaker(proto, op_checker) {
-    SetComment("Mul", "Out = X \\odot\\ Y");
-    AddComment(comment_);
-  }
-};
-
-}  // namespace operators
-}  // namespace paddle
-
 namespace ops = paddle::operators;
-REGISTER_OPERATOR(elementwise_mul, ops::ElementwiseOp,
-                  ops::ElementwiseMulOpMaker,
-                  paddle::framework::DefaultGradOpDescMaker<true>);
-REGISTER_OPERATOR(elementwise_mul_grad, ops::ElementwiseOpGrad);
+REGISTER_ELEMWISE_OP(elementwise_mul, "Mul", "Out = X \\odot\\ Y");
 REGISTER_OP_CPU_KERNEL(
     elementwise_mul,
     ops::ElementwiseMulKernel<paddle::platform::CPUDeviceContext, float>,

paddle/fluid/operators/elementwise_op.h

@@ -54,8 +54,7 @@ class ElementwiseOpInferVarType : public framework::VarTypeInference {
 
 class ElementwiseOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  ElementwiseOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() final {
     AddInput("X", "(Tensor), The first input tensor of elementwise op.");
     AddInput("Y", "(Tensor), The second input tensor of elementwise op.");
     AddOutput("Out", "The output of elementwise op.");
@@ -64,12 +63,12 @@ class ElementwiseOpMaker : public framework::OpProtoAndCheckerMaker {
                  "for broadcasting Y onto X.")
         .SetDefault(-1)
         .EqualGreaterThan(-1);
-    comment_ = R"DOC(
-Limited Elementwise {name} Operator.
+    AddComment(string::Sprintf(R"DOC(
+Limited Elementwise %s Operator.
 
 The equation is:
 
-$${equation}$$
+$$%s$$
 
 $X$ is a tensor of any dimension and the dimensions of tensor $Y$ must be
 smaller than or equal to the dimensions of $X$.
@@ -100,26 +99,13 @@ For example
 Either of the inputs $X$ and $Y$ or none can carry the LoD (Level of Details)
 information. However, the output only shares the LoD information with input $X$.
 
-)DOC";
-    AddComment(comment_);
+)DOC",
+                               GetName(), GetEquation()));
   }
 
  protected:
-  std::string comment_;
-
-  void Replace(std::string* src, std::string from, std::string to) {
-    std::size_t len_from = std::strlen(from.c_str());
-    std::size_t len_to = std::strlen(to.c_str());
-    for (std::size_t pos = src->find(from); pos != std::string::npos;
-         pos = src->find(from, pos + len_to)) {
-      src->replace(pos, len_from, to);
-    }
-  }
-
-  void SetComment(std::string name, std::string equation) {
-    Replace(&comment_, "{name}", name);
-    Replace(&comment_, "{equation}", equation);
-  }
+  virtual std::string GetName() const = 0;
+  virtual std::string GetEquation() const = 0;
 };
 
 class ElementwiseOpGrad : public framework::OperatorWithKernel {
@@ -152,3 +138,16 @@ class ElementwiseOpGrad : public framework::OperatorWithKernel {
 };
 }  // namespace operators
 }  // namespace paddle
+
+#define REGISTER_ELEMWISE_OP(op_type, op_name, equation)                \
+  class __ElemwiseOp##op_type##Maker__                                  \
+      : public ::paddle::operators::ElementwiseOpMaker {                \
+   protected:                                                           \
+    virtual std::string GetName() const { return op_name; }             \
+    virtual std::string GetEquation() const { return equation; }        \
+  };                                                                    \
+  REGISTER_OPERATOR(op_type, ::paddle::operators::ElementwiseOp,        \
+                    __ElemwiseOp##op_type##Maker__,                     \
+                    ::paddle::operators::ElementwiseOpInferVarType,     \
+                    ::paddle::framework::DefaultGradOpDescMaker<true>); \
+  REGISTER_OPERATOR(op_type##_grad, ::paddle::operators::ElementwiseOpGrad)

paddle/fluid/operators/elementwise_pow_op.cc

@@ -13,17 +13,15 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #include "paddle/fluid/operators/elementwise_pow_op.h"
+#include <string>
 #include "paddle/fluid/operators/elementwise_op.h"
 
 namespace paddle {
 namespace operators {
 class ElementwisePowOpMaker : public ElementwiseOpMaker {
- public:
-  ElementwisePowOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : ElementwiseOpMaker(proto, op_checker) {
-    SetComment("Pow", "Out = X ^ Y");
-    AddComment(comment_);
-  }
+ protected:
+  std::string GetName() const override { return "Pow"; }
+  std::string GetEquation() const override { return "Out = X ^ Y"; }
 };
 }  // namespace operators
 }  // namespace paddle

paddle/fluid/operators/elementwise_sub_op.cc

@@ -14,25 +14,8 @@ limitations under the License. */
 
 #include "paddle/fluid/operators/elementwise_sub_op.h"
 #include "paddle/fluid/operators/elementwise_op.h"
-
-namespace paddle {
-namespace operators {
-class ElementwiseSubOpMaker : public ElementwiseOpMaker {
- public:
-  ElementwiseSubOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : ElementwiseOpMaker(proto, op_checker) {
-    SetComment("Sub", "Out = X - Y");
-    AddComment(comment_);
-  }
-};
-}  // namespace operators
-}  // namespace paddle
-
 namespace ops = paddle::operators;
-REGISTER_OPERATOR(elementwise_sub, ops::ElementwiseOp,
-                  ops::ElementwiseSubOpMaker,
-                  paddle::framework::DefaultGradOpDescMaker<true>);
-REGISTER_OPERATOR(elementwise_sub_grad, ops::ElementwiseOpGrad);
+REGISTER_ELEMWISE_OP(elementwise_sub, "Sub", "Out = X - Y");
 REGISTER_OP_CPU_KERNEL(
     elementwise_sub,
     ops::ElementwiseSubKernel<paddle::platform::CPUDeviceContext, float>,

paddle/fluid/operators/expand_op.cc

@@ -56,8 +56,7 @@ class ExpandOp : public framework::OperatorWithKernel {
 
 class ExpandOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  ExpandOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X",
              "(Tensor, default Tensor<float>). A tensor with rank in [1, 6]."
              "X is the input to be expanded.");

paddle/fluid/operators/fc_op.cc

@@ -72,8 +72,7 @@ framework::OpKernelType FCOpGrad::GetExpectedKernelType(
       layout, library);
 }
 
-FCOpMaker::FCOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-    : OpProtoAndCheckerMaker(proto, op_checker) {
+void FCOpMaker::Make() {
   AddInput("Input", "(Tensor) The input tensor of fully connected operator. ");
   AddInput("W", "(Tensor), The second input tensor of fc op.");
   AddOutput("Out", "(Tensor) The output tensor of fully connected operator. ");

paddle/fluid/operators/fc_op.h

@@ -45,7 +45,7 @@ class FCOpGrad : public framework::OperatorWithKernel {
 
 class FCOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  FCOpMaker(OpProto* proto, OpAttrChecker* op_checker);
+  void Make() override;
 };
 
 }  // namespace operators

paddle/fluid/operators/feed_op.cc

@@ -66,8 +66,7 @@ class FeedOp : public framework::OperatorBase {
 
 class FeedOpInfoMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  FeedOpInfoMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X", "The input of feed op");
     AddOutput("Out", "The output of feed op");
     AddAttr<int>("col", "(int) The column of feed");

paddle/fluid/operators/fetch_op.cc

@@ -66,8 +66,7 @@ class FetchOp : public framework::OperatorBase {
 
 class FetchOpInfoMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  FetchOpInfoMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X", "The input of fetch op");
     AddOutput("Out", "The output of fetch op");
     AddAttr<int>("col", "(int) The column of fetch");

paddle/fluid/operators/fill_constant_batch_size_like_op.cc

@@ -30,9 +30,8 @@ class FillConstantBatchSizeLikeOp : public BatchSizeLikeOp {
 };
 
 class FillConstantBatchSizeLikeOpMaker : public BatchSizeLikeOpMaker {
- public:
-  FillConstantBatchSizeLikeOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : BatchSizeLikeOpMaker(proto, op_checker) {
+ protected:
+  void Apply() override {
     AddAttr<int>("dtype",
                  "(int, default 5 (FP32)) "
                  "Output data type")

paddle/fluid/operators/fill_constant_op.cc

@@ -59,8 +59,7 @@ class FillConstantOp : public framework::OperatorBase {
 
 class FillConstantOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  FillConstantOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : framework::OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddAttr<int>("dtype",
                  "(int, default 5 (FP32)) "
                  "Output data type")

paddle/fluid/operators/fill_op.cc

@@ -82,8 +82,7 @@ class FillOp : public framework::OperatorBase {
 
 class FillOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  FillOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddComment(R"DOC(Fill operator
 
 Fill an tensor with `value` and `shape`. The type of the tensor is specify by

paddle/fluid/operators/fill_zeros_like_op.cc

@@ -33,8 +33,7 @@ class FillZerosLikeOp : public framework::OperatorWithKernel {
 
 class FillZerosLikeOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  FillZerosLikeOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : framework::OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X", "The input of fill-zeros-like op.");
     AddOutput("Out", "The variable will be filled up with zeros.");
     AddComment(R"DOC(

paddle/fluid/operators/ftrl_op.cc

@@ -64,8 +64,7 @@ class FTRLOp : public framework::OperatorWithKernel {
 
 class FTRLOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  FTRLOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("Param",
              "(Tensor, default Tensor<float>) "
              "Input parameter value that has to be updated.");

paddle/fluid/operators/gather_op.cc

@@ -67,8 +67,7 @@ class GatherGradOp : public framework::OperatorWithKernel {
 
 class GatherOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  GatherOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddInput("X", "The source input of gather op");
     AddInput("Index", "The index input of gather op");
     AddOutput("Out", "The output of gather op");

paddle/fluid/operators/gaussian_random_batch_size_like_op.cc

@@ -32,9 +32,8 @@ class GaussianRandomBatchSizeLikeOp : public BatchSizeLikeOp {
 };
 
 class GaussianRandomBatchSizeLikeOpMaker : public BatchSizeLikeOpMaker {
- public:
-  GaussianRandomBatchSizeLikeOpMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : BatchSizeLikeOpMaker(proto, op_checker) {
+ protected:
+  void Apply() override {
     AddAttr<float>("mean",
                    "(float, default 0.0) "
                    "mean of random tensor.")

paddle/fluid/operators/gaussian_random_op.cc

@@ -70,8 +70,7 @@ class GaussianRandomOp : public framework::OperatorWithKernel {
 
 class GaussianRandomOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
-  GaussianRandomOpMaker(OpProto* proto, OpAttrChecker* op_checker)
-      : framework::OpProtoAndCheckerMaker(proto, op_checker) {
+  void Make() override {
     AddOutput("Out", "Output matrix of gaussian random op");
 
     AddAttr<std::vector<int>>("shape",