Move sync_mode device ctx from grpc server (#10881)

benchmark/fluid/kube_gen_job.py

@@ -49,7 +49,7 @@ def parse_args():
     parser.add_argument(
         '--fluid', default=1, type=int, help='whether is fluid job')
     parser.add_argument(
-        '--rdma', action='store_ture', help='whether mount rdma libs')
+        '--rdma', action='store_true', help='whether mount rdma libs')
     parser.add_argument(
         '--disttype',
         default="pserver",

paddle/fluid/inference/analysis/data_flow_graph.h

@@ -21,7 +21,10 @@ limitations under the License. */
 
 #include <deque>
 #include <stack>
+#include <string>
 #include <unordered_set>
+#include <utility>
+#include <vector>
 
 #include "paddle/fluid/inference/analysis/graph_traits.h"
 #include "paddle/fluid/inference/analysis/node.h"

paddle/fluid/inference/analysis/data_flow_graph_to_fluid_pass_tester.cc

@@ -44,6 +44,6 @@ TEST_F(DFG_Tester, Test) {
   LOG(INFO) << graph.nodes.size();
 }
 
-}  // analysis
-}  // inference
-}  // paddle
+};  // namespace analysis
+};  // namespace inference
+};  // namespace paddle

paddle/fluid/inference/analysis/fluid_to_data_flow_graph_pass.cc

@@ -12,9 +12,11 @@ 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/inference/analysis/fluid_to_data_flow_graph_pass.h"
+#include <string>
 #include <vector>
 
+#include "paddle/fluid/inference/analysis/fluid_to_data_flow_graph_pass.h"
+
 namespace paddle {
 namespace inference {
 namespace analysis {

paddle/fluid/inference/analysis/fluid_to_data_flow_graph_pass.h

@@ -19,6 +19,8 @@
 
 #pragma once
 
+#include <string>
+
 #include "paddle/fluid/framework/program_desc.h"
 #include "paddle/fluid/inference/analysis/data_flow_graph.h"
 #include "paddle/fluid/inference/analysis/pass.h"

paddle/fluid/inference/analysis/fluid_to_data_flow_graph_pass_tester.cc

@@ -32,6 +32,6 @@ TEST_F(DFG_Tester, Init) {
   LOG(INFO) << '\n' << graph.DotString();
 }
 
-}  // analysis
-}  // inference
-}  // paddle
+}  // namespace analysis
+}  // namespace inference
+}  // namespace paddle

paddle/fluid/inference/analysis/helper.h

@@ -50,7 +50,7 @@ struct DataTypeNamer {
     return dic_.at(x);
   }
 
-  const std::string &repr(size_t &hash) const {
+  const std::string &repr(size_t &hash) const {  // NOLINT
     PADDLE_ENFORCE(dic_.count(hash), "unknown type for representation");
     return dic_.at(hash);
   }
@@ -62,7 +62,9 @@ struct DataTypeNamer {
     SET_TYPE(float);
   }
 
-  std::unordered_map<decltype(typeid(int).hash_code()), std::string> dic_;
+  std::unordered_map<decltype(typeid(int).hash_code()),  // NOLINT
+                     std::string>
+      dic_;
 };
 #undef SET_TYPE
 

paddle/fluid/inference/analysis/pass.h

@@ -16,6 +16,7 @@ limitations under the License. */
 
 #include <glog/logging.h>
 #include <iosfwd>
+#include <string>
 
 #include "paddle/fluid/framework/framework.pb.h"
 #include "paddle/fluid/inference/analysis/data_flow_graph.h"

paddle/fluid/inference/analysis/subgraph_splitter.h

@@ -18,6 +18,8 @@ limitations under the License. */
 
 #pragma once
 
+#include <vector>
+
 #include "paddle/fluid/inference/analysis/data_flow_graph.h"
 #include "paddle/fluid/inference/analysis/node.h"
 

paddle/fluid/inference/analysis/ut_helper.h

@@ -15,6 +15,7 @@ limitations under the License. */
 #pragma once
 #include <gflags/gflags.h>
 #include <gtest/gtest.h>
+#include <string>
 #include "paddle/fluid/framework/executor.h"
 #include "paddle/fluid/inference/analysis/data_flow_graph.h"
 #include "paddle/fluid/inference/analysis/fluid_to_data_flow_graph_pass.h"

paddle/fluid/inference/tensorrt/convert/ut_helper.h

@@ -19,6 +19,9 @@ limitations under the License. */
 
 #pragma once
 
+#include <string>
+#include <vector>
+
 #include "paddle/fluid/framework/lod_tensor.h"
 #include "paddle/fluid/framework/op_registry.h"
 #include "paddle/fluid/inference/analysis/helper.h"
@@ -58,7 +61,7 @@ class TRTConvertValidation {
  public:
   TRTConvertValidation() = delete;
 
-  TRTConvertValidation(int batch_size, int workspace_size = 1 << 10) {
+  explicit TRTConvertValidation(int batch_size, int workspace_size = 1024) {
     // create engine.
     engine_.reset(new TensorRTEngine(10, 1 << 10, &stream_));
     engine_->InitNetwork();

paddle/fluid/operators/detail/CMakeLists.txt

 if(WITH_DISTRIBUTE)
   grpc_library(sendrecvop_grpc SRCS bytebuffer_stream.cc sendrecvop_utils.cc grpc_client.cc
-      grpc_server.cc variable_response.cc PROTO send_recv.proto DEPS lod_tensor selected_rows)
+      request_handler_impl.cc rpc_server.cc grpc_server.cc variable_response.cc PROTO send_recv.proto DEPS lod_tensor
+      selected_rows memory)
   set(DISTRIBUTE_COMPILE_FLAGS "-Wno-non-virtual-dtor -Wno-error=non-virtual-dtor -Wno-error=delete-non-virtual-dtor")
   set_source_files_properties(serde_test.cc grpc_server_test.cc PROPERTIES COMPILE_FLAGS ${DISTRIBUTE_COMPILE_FLAGS})
   cc_test(serde_test SRCS serde_test.cc variable_response.cc DEPS grpc++_unsecure grpc_unsecure gpr

paddle/fluid/operators/detail/grpc_client.cc

@@ -205,6 +205,8 @@ void RPCClient::AsyncSendFetchBarrier(const std::string& ep, int64_t time_out) {
 }
 
 bool RPCClient::Wait() {
+  VLOG(3) << "RPCClient begin Wait()"
+          << " req_count_:" << req_count_;
   if (req_count_ <= 0) {
     return true;
   }

paddle/fluid/operators/detail/grpc_server.h

@@ -14,6 +14,8 @@ limitations under the License. */
 
 #pragma once
 
+#include <map>
+#include <set>
 #include <string>
 #include <thread>  // NOLINT
 #include <utility>
@@ -28,6 +30,8 @@ limitations under the License. */
 #include "paddle/fluid/framework/selected_rows.h"
 #include "paddle/fluid/framework/var_type.h"
 #include "paddle/fluid/operators/detail/grpc_service.h"
+#include "paddle/fluid/operators/detail/request_handler.h"
+#include "paddle/fluid/operators/detail/rpc_server.h"
 #include "paddle/fluid/operators/detail/send_recv.grpc.pb.h"
 #include "paddle/fluid/operators/detail/send_recv.pb.h"
 #include "paddle/fluid/operators/detail/sendrecvop_utils.h"
@@ -37,106 +41,48 @@ namespace paddle {
 namespace operators {
 namespace detail {
 
-typedef std::pair<std::string, std::shared_ptr<VariableResponse>>
-    ReceivedMessage;
-typedef framework::BlockingQueue<ReceivedMessage> ReceivedQueue;
-
-typedef std::pair<std::string, sendrecv::VariableMessage> MessageWithName;
 class RequestBase;
 
-class AsyncGRPCServer final {
+class AsyncGRPCServer final : public RPCServer {
  public:
-  explicit AsyncGRPCServer(const std::string &address, bool sync_mode)
-      : address_(address), sync_mode_(sync_mode), ready_(0) {}
-
-  ~AsyncGRPCServer() {}
-  void WaitServerReady();
-  void RunSyncUpdate();
-
-  // functions to sync server barrier status.
-  void WaitCond(int cond);
-  void SetCond(int cond);
-  void WaitClientGet(int count);
-
-  void SetScope(framework::Scope *scope) { scope_ = scope; }
-
-  void SetDevCtx(const platform::DeviceContext *dev_ctx) { dev_ctx_ = dev_ctx; }
-
-  void SetProgram(framework::ProgramDesc *program) { program_ = program; }
-
-  void SetExecutor(framework::Executor *executor) { executor_ = executor; }
-
-  void SetPrefetchPreparedCtx(
-      std::unique_ptr<framework::ExecutorPrepareContext> prepared) {
-    prefetch_ctx_.reset(prepared.release());
-  }
-
-  int GetSelectedPort() const { return selected_port_; }
-
-  const ReceivedMessage Get() { return this->var_recv_queue_.Pop(); }
+  explicit AsyncGRPCServer(const std::string& address, int client_num)
+      : RPCServer(address, client_num), ready_(0) {}
 
-  void Push(const std::string &msg_name) {
-    this->var_recv_queue_.Push(std::make_pair(msg_name, nullptr));
-  }
+  virtual ~AsyncGRPCServer() {}
+  void WaitServerReady() override;
+  void StartServer() override;
 
-  void ShutDown();
+ private:
+  void HandleRequest(
+      ::grpc::ServerCompletionQueue* cq, const std::string& rpc_name,
+      std::function<void(const std::string&, int)> TryToRegisterNewOne);
 
- protected:
-  void HandleRequest(::grpc::ServerCompletionQueue *cq,
-                     const std::string &cq_name,
-                     std::function<void(int)> TryToRegisterNewOne);
-  void TryToRegisterNewSendOne(int req_id);
-  void TryToRegisterNewGetOne(int req_id);
-  void TryToRegisterNewPrefetchOne(int req_id);
+  void TryToRegisterNewOne(const std::string& rpc_name, int req_id);
   void ShutdownQueue();
+  void ShutDownImpl() override;
 
  private:
-  static const int kSendReqsBufSize = 100;
-  static const int kGetReqsBufSize = 100;
-  static const int kPrefetchReqsBufSize = 10;
+  static const int kRequestBufSize = 100;
 
   std::mutex cq_mutex_;
   volatile bool is_shut_down_ = false;
-  std::unique_ptr<::grpc::ServerCompletionQueue> cq_send_;
-  std::unique_ptr<::grpc::ServerCompletionQueue> cq_get_;
-  std::unique_ptr<::grpc::ServerCompletionQueue> cq_prefetch_;
-
-  RequestBase *send_reqs_[kSendReqsBufSize];
-  RequestBase *get_reqs_[kGetReqsBufSize];
-  RequestBase *prefetch_reqs_[kPrefetchReqsBufSize];
 
   GrpcService::AsyncService service_;
   std::unique_ptr<::grpc::Server> server_;
 
-  std::string address_;
-  const bool sync_mode_;
-  framework::Scope *scope_;
-  const platform::DeviceContext *dev_ctx_;
-
-  // received variable from RPC, operators fetch variable from this queue.
-  framework::BlockingQueue<MessageWithName> var_get_queue_;
-  // client send variable to this queue.
-  ReceivedQueue var_recv_queue_;
-
   // condition of the sub program
   std::mutex barrier_mutex_;
   mutable int barrier_cond_step_;
   std::condition_variable barrier_condition_;
 
-  std::vector<std::unique_ptr<std::thread>> t_sends_;
-  std::vector<std::unique_ptr<std::thread>> t_gets_;
-  std::vector<std::unique_ptr<std::thread>> t_prefetchs_;
-
-  std::unique_ptr<std::thread> t_prefetch_;
-
-  std::unique_ptr<framework::ExecutorPrepareContext> prefetch_ctx_;
-  framework::ProgramDesc *program_;
-  framework::Executor *executor_;
-  int selected_port_;
-
   std::mutex mutex_ready_;
   std::condition_variable condition_ready_;
+
   int ready_;
+
+  std::map<std::string, std::unique_ptr<::grpc::ServerCompletionQueue>> rpc_cq_;
+  std::map<std::string, std::vector<std::unique_ptr<std::thread>>> rpc_threads_;
+  std::map<std::string, std::vector<RequestBase*>> rpc_reqs_;
 };
 
 };  // namespace detail

paddle/fluid/operators/detail/grpc_server_test.cc

@@ -24,13 +24,16 @@ limitations under the License. */
 #include "paddle/fluid/framework/op_registry.h"
 #include "paddle/fluid/framework/operator.h"
 
+#include "paddle/fluid/operators/detail/request_handler_impl.h"
+
 namespace framework = paddle::framework;
 namespace platform = paddle::platform;
 namespace detail = paddle::operators::detail;
 
 USE_OP(lookup_table);
 
-std::unique_ptr<detail::AsyncGRPCServer> rpc_service_;
+std::unique_ptr<detail::AsyncGRPCServer> g_rpc_service;
+std::unique_ptr<detail::RequestHandler> g_req_handler;
 
 framework::BlockDesc* AppendPrefetchBlcok(framework::ProgramDesc* program) {
   auto root_block = program->MutableBlock(0);
@@ -88,8 +91,7 @@ void InitTensorsOnServer(framework::Scope* scope, platform::CPUPlace* place,
   }
 }
 
-void StartServer(const std::string& endpoint) {
-  rpc_service_.reset(new detail::AsyncGRPCServer(endpoint, true));
+void StartServer() {
   framework::ProgramDesc program;
   framework::Scope scope;
   platform::CPUPlace place;
@@ -99,42 +101,59 @@ void StartServer(const std::string& endpoint) {
   auto prepared = exe.Prepare(program, block->ID());
   InitTensorsOnServer(&scope, &place, 10);
 
-  rpc_service_->SetProgram(&program);
-  rpc_service_->SetPrefetchPreparedCtx(std::move(prepared));
-  rpc_service_->SetDevCtx(&ctx);
-  rpc_service_->SetScope(&scope);
-  rpc_service_->SetExecutor(&exe);
+  g_req_handler->SetProgram(&program);
+  g_req_handler->SetPrefetchPreparedCtx(std::move(prepared));
+  g_req_handler->SetDevCtx(&ctx);
+  g_req_handler->SetScope(&scope);
+  g_req_handler->SetExecutor(&exe);
+
+  g_rpc_service->RegisterRPC(detail::kRequestPrefetch, g_req_handler.get());
+  g_req_handler->SetRPCServer(g_rpc_service.get());
+
+  std::thread server_thread(
+      std::bind(&detail::AsyncGRPCServer::StartServer, g_rpc_service.get()));
 
-  rpc_service_->RunSyncUpdate();
+  // FIXME(gongwb): don't use hard time.
+  sleep(10);
+  LOG(INFO) << "got nccl id and stop server...";
+  g_rpc_service->ShutDown();
+  server_thread.join();
 }
 
-TEST(PREFETCH, DISABLED_CPU) {
-  // start up a server instance backend
-  std::thread server_thread(StartServer, "127.0.0.1:8889");
-  sleep(2);
+TEST(PREFETCH, CPU) {
+  g_req_handler.reset(new detail::RequestPrefetchHandler(true));
+  g_rpc_service.reset(new detail::AsyncGRPCServer("127.0.0.1:0", 1));
+
+  std::thread server_thread(StartServer);
+  g_rpc_service->WaitServerReady();
+
+  detail::RPCClient client;
+  int port = g_rpc_service->GetSelectedPort();
+  std::string ep = paddle::string::Sprintf("127.0.0.1:%d", port);
+
   framework::Scope scope;
   platform::CPUPlace place;
   platform::CPUDeviceContext ctx(place);
-  // create var on local scope
-  int64_t rows_numel = 5;
-  InitTensorsOnClient(&scope, &place, rows_numel);
-  std::string in_var_name("ids");
-  std::string out_var_name("out");
-
-  auto client = detail::RPCClient::GetInstance();
-  client->AsyncPrefetchVariable("127.0.0.1:8889", ctx, scope, in_var_name,
-                                out_var_name);
-  client->Wait();
-
-  auto var = scope.Var(out_var_name);
-  auto value = var->GetMutable<framework::SelectedRows>()->value();
-  auto ptr = value.mutable_data<float>(place);
-
-  rpc_service_->ShutDown();
-  server_thread.join();
-  rpc_service_.reset(nullptr);
-
-  for (int64_t i = 0; i < rows_numel; ++i) {
-    EXPECT_EQ(ptr[0 + i * value.dims()[1]], static_cast<float>(i * 2));
+  {
+    // create var on local scope
+    int64_t rows_numel = 5;
+    InitTensorsOnClient(&scope, &place, rows_numel);
+    std::string in_var_name("ids");
+    std::string out_var_name("out");
+
+    client.AsyncPrefetchVariable(ep, ctx, scope, in_var_name, out_var_name);
+    client.Wait();
+    auto var = scope.Var(out_var_name);
+    auto value = var->GetMutable<framework::SelectedRows>()->value();
+    auto ptr = value.mutable_data<float>(place);
+
+    for (int64_t i = 0; i < rows_numel; ++i) {
+      EXPECT_EQ(ptr[0 + i * value.dims()[1]], static_cast<float>(i * 2));
+    }
   }
+
+  server_thread.join();
+  LOG(INFO) << "begin reset";
+  g_rpc_service.reset(nullptr);
+  g_req_handler.reset(nullptr);
 }

paddle/fluid/operators/detail/request_handler.h

+// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// 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.
+
+#pragma once
+
+#include <time.h>
+
+#include <functional>
+#include <string>
+#include <utility>
+#include <vector>
+
+#include "paddle/fluid/framework/data_type.h"
+#include "paddle/fluid/framework/executor.h"
+#include "paddle/fluid/framework/lod_tensor.h"
+#include "paddle/fluid/framework/program_desc.h"
+#include "paddle/fluid/framework/scope.h"
+#include "paddle/fluid/framework/selected_rows.h"
+#include "paddle/fluid/framework/var_type.h"
+#include "paddle/fluid/operators/detail/sendrecvop_utils.h"
+
+namespace paddle {
+namespace operators {
+namespace detail {
+
+constexpr char kRequestSend[] = "RequestSend";
+constexpr char kRequestGet[] = "RequestGet";
+constexpr char kRequestPrefetch[] = "RequestPrefetch";
+
+class RPCServer;
+
+class RequestHandler {
+ public:
+  explicit RequestHandler(bool sync_mode)
+      : sync_mode_(sync_mode),
+        dev_ctx_(nullptr),
+        executor_(nullptr),
+        scope_(nullptr),
+        program_(nullptr),
+        rpc_server_(nullptr) {}
+
+  virtual ~RequestHandler() {}
+
+  // Set attributes.
+  void SetScope(framework::Scope* scope) { scope_ = scope; }
+  void SetDevCtx(const platform::DeviceContext* dev_ctx) { dev_ctx_ = dev_ctx; }
+  void SetProgram(framework::ProgramDesc* program) { program_ = program; }
+  void SetExecutor(framework::Executor* executor) { executor_ = executor; }
+  void SetPrefetchPreparedCtx(
+      std::unique_ptr<framework::ExecutorPrepareContext> prepared) {
+    prefetch_ctx_.reset(prepared.release());
+  }
+
+  // Used for async.
+  void SetGradToPreparedCtx(
+      std::unordered_map<
+          std::string, std::shared_ptr<framework::ExecutorPrepareContext>>* g) {
+    grad_to_prepared_ctx_ = g;
+  }
+
+  void SetRPCServer(RPCServer* rpc_server) { rpc_server_ = rpc_server; }
+
+  // Get attributes.
+  bool sync_mode() { return sync_mode_; }
+  framework::Scope* scope() { return scope_; }
+  const platform::DeviceContext* dev_ctx() { return dev_ctx_; }
+  framework::ExecutorPrepareContext* prefetch_ctx() {
+    return prefetch_ctx_.get();
+  }
+  framework::ProgramDesc* program() { return program_; }
+  framework::Executor* executor() { return executor_; }
+  std::vector<framework::Variable*>& sparse_vars() { return sparse_vars_; }
+
+  // This function processes user's rpc request.
+  // The implemention is in request_handler_impl.
+  // example:
+  //    std::string varname = request_.varname();
+  //
+  //    auto scope = request_handler_->scope();
+  //    auto invar = scope->FindVar(varname);
+  //    framework::Variable* outvar = nullptr;
+  //
+  //    request_handler_->Handle(varname, scope, invar, &outvar);
+  //    if (outvar) {
+  //        SerializeToByteBuffer(varname, outvar,
+  //           *request_handler_->dev_ctx(), &reply_);
+  //    }
+  virtual bool Handle(const std::string& varname, framework::Scope* scope,
+                      framework::Variable* var,
+                      framework::Variable** outvar) = 0;
+
+ protected:
+  const bool sync_mode_;
+
+  const platform::DeviceContext* dev_ctx_;
+  framework::Executor* executor_;
+  framework::Scope* scope_;
+  framework::ProgramDesc* program_;
+  std::unique_ptr<framework::ExecutorPrepareContext> prefetch_ctx_;
+
+  // Used for async.
+  std::unordered_map<std::string,
+                     std::shared_ptr<framework::ExecutorPrepareContext>>*
+      grad_to_prepared_ctx_;
+
+  // Record received sparse variables, so that
+  // we could reset those after execute optimize program
+  std::vector<framework::Variable*> sparse_vars_;
+  RPCServer* rpc_server_;
+
+  std::mutex sparse_var_mutex_;
+};
+
+}  // namespace detail
+}  // namespace operators
+}  // namespace paddle

paddle/fluid/operators/detail/request_handler_impl.cc

+// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// 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 <iostream>
+#include <string>
+#include <vector>
+
+#include "paddle/fluid/framework/blocking_queue.h"
+#include "paddle/fluid/framework/data_type.h"
+#include "paddle/fluid/framework/lod_tensor.h"
+#include "paddle/fluid/framework/scope.h"
+#include "paddle/fluid/framework/selected_rows.h"
+#include "paddle/fluid/operators/detail/request_handler_impl.h"
+#include "paddle/fluid/operators/detail/rpc_server.h"
+#include "paddle/fluid/operators/detail/sendrecvop_utils.h"
+#include "paddle/fluid/operators/detail/variable_response.h"
+
+namespace paddle {
+namespace operators {
+namespace detail {
+
+bool RequestSendHandler::Handle(const std::string& varname,
+                                framework::Scope* scope,
+                                framework::Variable* invar,
+                                framework::Variable** outvar) {
+  VLOG(4) << "RequestSendHandler:" << varname;
+
+  // Async
+  if (!sync_mode_) {
+    try {
+      executor_->RunPreparedContext((*grad_to_prepared_ctx_)[varname].get(),
+                                    scope);
+    } catch (std::exception& e) {
+      LOG(ERROR) << "async: run sub program error " << e.what();
+      return false;
+    }
+    return true;
+  }
+
+  // Sync
+  if (varname == BATCH_BARRIER_MESSAGE) {
+    VLOG(3) << "sync: recv batch barrier message";
+    rpc_server_->IncreaseBatchBarrier(kRequestSend);
+  } else {
+    VLOG(3) << "sync: received var_name: " << varname;
+    if (sync_mode_) {
+      rpc_server_->WaitCond(kRequestSend);
+    }
+
+    if (invar == nullptr) {
+      LOG(ERROR) << "sync: Can not find server side var: " << varname;
+      PADDLE_THROW("sync: Can not find server side var");
+      return false;
+    }
+
+    if (invar->IsType<framework::SelectedRows>()) {
+      std::unique_lock<std::mutex> lock(sparse_var_mutex_);
+      sparse_vars_.push_back(invar);
+    }
+  }
+
+  return true;
+}
+
+bool RequestGetHandler::Handle(const std::string& varname,
+                               framework::Scope* scope,
+                               framework::Variable* invar,
+                               framework::Variable** outvar) {
+  VLOG(4) << "RequestGetHandler:" << varname;
+
+  if (varname != FETCH_BARRIER_MESSAGE) {
+    if (sync_mode_) {
+      rpc_server_->WaitCond(kRequestGet);
+    }
+    *outvar = scope_->FindVar(varname);
+    return true;
+  }
+
+  // FETCH_BARRIER_MESSAGE
+  if (sync_mode_) {
+    VLOG(3) << "sync: recv fetch barrier message";
+    rpc_server_->IncreaseBatchBarrier(kRequestGet);
+  }
+
+  return true;
+}
+
+bool RequestPrefetchHandler::Handle(const std::string& varname,
+                                    framework::Scope* scope,
+                                    framework::Variable* invar,
+                                    framework::Variable** outvar) {
+  VLOG(4) << "RequestPrefetchHandler " << varname;
+
+  auto var_desc = program_->Block(0).FindVar(varname);
+  *outvar = scope->FindVar(varname);
+  InitializeVariable(*outvar, var_desc->GetType());
+  executor_->RunPreparedContext(prefetch_ctx_.get(), scope);
+
+  return true;
+}
+
+}  // namespace detail
+}  // namespace operators
+}  // namespace paddle

paddle/fluid/operators/detail/request_handler_impl.h

+// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// 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.
+
+#pragma once
+
+#include <time.h>
+
+#include <functional>
+#include <string>
+#include <utility>
+#include <vector>
+
+#include "paddle/fluid/framework/data_type.h"
+#include "paddle/fluid/framework/executor.h"
+#include "paddle/fluid/framework/lod_tensor.h"
+#include "paddle/fluid/framework/program_desc.h"
+#include "paddle/fluid/framework/scope.h"
+#include "paddle/fluid/framework/selected_rows.h"
+#include "paddle/fluid/framework/var_type.h"
+#include "paddle/fluid/operators/detail/request_handler.h"
+#include "paddle/fluid/operators/detail/sendrecvop_utils.h"
+
+namespace paddle {
+namespace operators {
+namespace detail {
+
+class RequestSendHandler final : public RequestHandler {
+ public:
+  explicit RequestSendHandler(bool sync_mode) : RequestHandler(sync_mode) {}
+  virtual ~RequestSendHandler() {}
+  bool Handle(const std::string& varname, framework::Scope* scope,
+              framework::Variable* var, framework::Variable** outvar) override;
+};
+
+class RequestGetHandler final : public RequestHandler {
+ public:
+  explicit RequestGetHandler(bool sync_mode) : RequestHandler(sync_mode) {}
+  virtual ~RequestGetHandler() {}
+  bool Handle(const std::string& varname, framework::Scope* scope,
+              framework::Variable* var, framework::Variable** outvar) override;
+};
+
+class RequestPrefetchHandler final : public RequestHandler {
+ public:
+  explicit RequestPrefetchHandler(bool sync_mode) : RequestHandler(sync_mode) {}
+  virtual ~RequestPrefetchHandler() {}
+  bool Handle(const std::string& varname, framework::Scope* scope,
+              framework::Variable* var, framework::Variable** outvar) override;
+};
+
+}  // namespace detail
+}  // namespace operators
+}  // namespace paddle

paddle/fluid/operators/detail/rpc_server.cc

+// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// 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 <fstream>
+#include <iostream>
+#include <limits>
+#include <string>
+
+#include "paddle/fluid/operators/detail/rpc_server.h"
+
+namespace paddle {
+namespace operators {
+namespace detail {
+
+void RPCServer::ShutDown() {
+  LOG(INFO) << "RPCServer ShutDown ";
+  ShutDownImpl();
+
+  exit_flag_ = true;
+  barrier_cond_.notify_all();
+  rpc_cond_.notify_all();
+}
+
+void RPCServer::SavePort() const {
+  auto file_path = string::Sprintf("/tmp/paddle.%d.port", ::getpid());
+  std::ofstream port_file;
+  port_file.open(file_path);
+  port_file << selected_port_;
+  port_file.close();
+  VLOG(4) << "selected port written to " << file_path;
+}
+
+void RPCServer::WaitBarrier(const std::string& rpc_name) {
+  std::unique_lock<std::mutex> lock(this->mutex_);
+  barrier_cond_.wait(lock, [=] {
+    return (barrier_counter_[rpc_name] >= client_num_ || exit_flag_.load());
+  });
+
+  VLOG(3) << "batch_barrier_:" << barrier_counter_[rpc_name];
+}
+
+void RPCServer::IncreaseBatchBarrier(const std::string rpc_name) {
+  VLOG(3) << "RPCServer begin IncreaseBatchBarrier " << rpc_name;
+  int b = 0;
+  {
+    std::unique_lock<std::mutex> lock(mutex_);
+    b = ++barrier_counter_[rpc_name];
+  }
+
+  VLOG(3) << "RPCServer IncreaseBatchBarrier " << rpc_name
+          << ", barrier_count:" << b << ", fan_in" << client_num_;
+
+  if (b >= client_num_) {
+    barrier_cond_.notify_all();
+  }
+}
+
+void RPCServer::ResetBarrierCounter() {
+  VLOG(3) << "RPCServer ResetBarrierCounter ";
+  std::unique_lock<std::mutex> lock(mutex_);
+  for (auto& t : barrier_counter_) {
+    t.second = 0;
+  }
+}
+
+void RPCServer::RegisterRPC(const std::string& rpc_name,
+                            RequestHandler* handler, int thread_num) {
+  rpc_call_map_[rpc_name] = handler;
+  rpc_thread_num_[rpc_name] = thread_num;
+
+  static int cond = -1;
+  rpc_cond_map_[rpc_name] = ++cond;
+  VLOG(4) << "RegisterRPC rpc_name:" << rpc_name << ", handler:" << handler
+          << ", cond:" << rpc_cond_map_[rpc_name];
+}
+
+void RPCServer::SetCond(const std::string& rpc_name) {
+  VLOG(3) << "RPCServer SetCond " << rpc_name;
+  {
+    std::unique_lock<std::mutex> lock(mutex_);
+    cur_cond_ = rpc_cond_map_[rpc_name];
+  }
+
+  rpc_cond_.notify_all();
+}
+
+void RPCServer::WaitCond(const std::string& rpc_name) {
+  VLOG(3) << "RPCServer WaitCond " << rpc_name;
+  int cond = 0;
+  {
+    std::unique_lock<std::mutex> lock(mutex_);
+    cond = rpc_cond_map_[rpc_name];
+  }
+
+  std::unique_lock<std::mutex> lock(mutex_);
+  rpc_cond_.wait(
+      lock, [=] { return (cur_cond_.load() == cond || exit_flag_.load()); });
+}
+
+}  // namespace detail
+}  // namespace operators
+}  // namespace paddle

paddle/fluid/operators/detail/rpc_server.h

+// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// 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.
+
+#pragma once
+
+#include <set>
+#include <string>
+#include <thread>  // NOLINT
+#include <utility>
+#include <vector>
+#include "paddle/fluid/operators/detail/request_handler.h"
+
+namespace paddle {
+namespace operators {
+namespace detail {
+
+class RPCServer {
+ public:
+  explicit RPCServer(const std::string& address, int client_num)
+      : cur_cond_(0),
+        bind_address_(address),
+        exit_flag_(false),
+        selected_port_(0),
+        client_num_(client_num) {}
+
+  virtual ~RPCServer() {}
+  virtual void StartServer() = 0;
+  virtual void WaitServerReady() = 0;
+
+  void ShutDown();
+
+  bool IsExit() { return exit_flag_.load(); }
+
+  int GetSelectedPort() const { return selected_port_; }
+  void SavePort() const;
+
+  // RegisterRPC, register the rpc method name to a handler
+  // class, and auto generate a condition id for this call
+  // to be used for the barrier.
+  void RegisterRPC(const std::string& rpc_name, RequestHandler* handler,
+                   int thread_num = 5);
+
+  // Wait util all the clients have reached the barrier for one
+  // rpc method. This function should be called in the
+  // RequestHandler if you want to run the server/client in a
+  // synchronous mode.
+  void WaitBarrier(const std::string& rpc_name);
+
+  void SetCond(const std::string& rpc_name);
+  void WaitCond(const std::string& rpc_name);
+  void IncreaseBatchBarrier(const std::string rpc_name);
+  void ResetBarrierCounter();
+
+ protected:
+  virtual void ShutDownImpl() = 0;
+
+ private:
+  std::mutex mutex_;
+  std::unordered_map<std::string, int> barrier_counter_;
+  std::condition_variable barrier_cond_;
+
+  std::unordered_map<std::string, int> rpc_cond_map_;
+  std::atomic<int> cur_cond_;
+  std::condition_variable rpc_cond_;
+
+ protected:
+  std::string bind_address_;
+  std::atomic<int> exit_flag_;
+  int selected_port_;
+
+  const int client_num_;
+
+  std::unordered_map<std::string, RequestHandler*> rpc_call_map_;
+  std::unordered_map<std::string, int> rpc_thread_num_;
+  friend class RequestHandler;
+};
+
+};  // namespace detail
+};  // namespace operators
+};  // namespace paddle

paddle/fluid/operators/detail/variable_response.h

@@ -67,8 +67,8 @@ class VariableResponse {
 
   framework::Scope* GetMutableLocalScope() const { return local_scope_; }
 
-  inline std::string Varname() { return meta_.varname(); }
-  inline std::string OutVarname() { return meta_.out_varname(); }
+  inline std::string Varname() const { return meta_.varname(); }
+  inline std::string OutVarname() const { return meta_.out_varname(); }
 
   // should call parse first.
   framework::Variable* GetVar() {

paddle/fluid/operators/gen_nccl_id_op.cc

@@ -23,6 +23,7 @@ limitations under the License. */
 #include "paddle/fluid/framework/threadpool.h"
 #include "paddle/fluid/operators/detail/grpc_client.h"
 #include "paddle/fluid/operators/detail/grpc_server.h"
+#include "paddle/fluid/operators/detail/request_handler_impl.h"
 #include "paddle/fluid/platform/nccl_helper.h"
 
 namespace paddle {
@@ -75,19 +76,23 @@ class GenNCCLIdOp : public framework::OperatorBase {
     // NOTE: Can not use unique_ptr here because the default
     // deleter will call GRPC Server's base class's dtor and
     // that will cause a wired crash.
-    detail::AsyncGRPCServer rpc_service(endpoint, true);
+    detail::RequestSendHandler rpc_h(true);
+    detail::AsyncGRPCServer rpc_service(endpoint, 1);
+    rpc_service.RegisterRPC(detail::kRequestSend, &rpc_h);
+    rpc_h.SetRPCServer(&rpc_service);
+
     framework::ProgramDesc empty_program;
     framework::Executor executor(dev_ctx.GetPlace());
-    rpc_service.SetScope(scope);
-    rpc_service.SetDevCtx(&dev_ctx);
-    rpc_service.SetProgram(&empty_program);
-    rpc_service.SetExecutor(&executor);
+    rpc_h.SetScope(scope);
+    rpc_h.SetDevCtx(&dev_ctx);
+    rpc_h.SetProgram(&empty_program);
+    rpc_h.SetExecutor(&executor);
 
     std::thread server_thread(
-        std::bind(&detail::AsyncGRPCServer::RunSyncUpdate, &rpc_service));
-    rpc_service.SetCond(0);
+        std::bind(&detail::AsyncGRPCServer::StartServer, &rpc_service));
+    rpc_service.SetCond(detail::kRequestSend);
     VLOG(3) << "start getting nccl id from trainer 0...";
-    auto recv = rpc_service.Get();
+    rpc_service.WaitBarrier(detail::kRequestSend);
     VLOG(3) << "got nccl id and stop server...";
     rpc_service.ShutDown();
     VLOG(3) << "rpc server stopped";

paddle/fluid/operators/listen_and_serv_op.cc

@@ -19,14 +19,16 @@ limitations under the License. */
 #include <thread>  // NOLINT
 #include <vector>
 
+#include "paddle/fluid/operators/detail/grpc_server.h"
+#include "paddle/fluid/operators/detail/request_handler_impl.h"
 #include "paddle/fluid/operators/listen_and_serv_op.h"
 #include "paddle/fluid/platform/profiler.h"
 
 namespace paddle {
 namespace operators {
 
-void RunServer(std::shared_ptr<detail::AsyncGRPCServer> service) {
-  service->RunSyncUpdate();
+void RunServer(std::shared_ptr<detail::RPCServer> service) {
+  service->StartServer();
   VLOG(4) << "RunServer thread end";
 }
 static void split(const std::string &str, char sep,
@@ -67,8 +69,6 @@ static void ParallelExecuteBlocks(
   for (size_t i = 0; i < fs.size(); ++i) fs[i].wait();
 }
 
-std::atomic_int ListenAndServOp::selected_port_{0};
-
 ListenAndServOp::ListenAndServOp(const std::string &type,
                                  const framework::VariableNameMap &inputs,
                                  const framework::VariableNameMap &outputs,
@@ -78,7 +78,6 @@ ListenAndServOp::ListenAndServOp(const std::string &type,
 ListenAndServOp::~ListenAndServOp() { Stop(); }
 
 void ListenAndServOp::Stop() {
-  rpc_service_->Push(LISTEN_TERMINATE_MESSAGE);
   rpc_service_->ShutDown();
   server_thread_->join();
   auto file_path = string::Sprintf("/tmp/paddle.%d.port", ::getpid());
@@ -87,26 +86,13 @@ void ListenAndServOp::Stop() {
 
 void ListenAndServOp::SavePort() const {
   // NOTE: default write file to /tmp/paddle.selected_port
-  selected_port_ = rpc_service_->GetSelectedPort();
-  auto file_path = string::Sprintf("/tmp/paddle.%d.port", ::getpid());
-  std::ofstream port_file;
-  port_file.open(file_path);
-  port_file << selected_port_.load();
-  port_file.close();
-  VLOG(4) << "selected port written to " << file_path;
-}
-
-void ListenAndServOp::WaitServerReady() {
-  while (selected_port_.load() == 0) {
-  }
+  rpc_service_->SavePort();
 }
 
 void ListenAndServOp::RunSyncLoop(framework::Executor *executor,
                                   framework::ProgramDesc *program,
                                   framework::Scope *recv_scope,
                                   framework::BlockDesc *prefetch_block) const {
-  auto fan_in = Attr<int>("Fanin");
-
   size_t num_blocks = program->Size();
   PADDLE_ENFORCE_GE(num_blocks, 2,
                     "server program should have at least 2 blocks");
@@ -121,49 +107,24 @@ void ListenAndServOp::RunSyncLoop(framework::Executor *executor,
       optimize_prepared.begin(),
       std::shared_ptr<framework::ExecutorPrepareContext>(nullptr));
 
-  bool exit_flag = false;
+  rpc_service_->ResetBarrierCounter();
   // Record received sparse variables, so that
   // we could reset those after execute optimize program
   std::vector<framework::Variable *> sparse_vars;
-  while (!exit_flag && !SignalHandler::IsProgramExit()) {
+  while (true) {
     // Get from multiple trainers, we don't care about the order in which
     // the gradients arrives, just add suffix 0~n and merge the gradient.
-    rpc_service_->SetCond(0);
-    size_t recv_var_cnt = 0;
-    int batch_barrier = 0;
-    while (batch_barrier != fan_in) {
-      const detail::ReceivedMessage v = rpc_service_->Get();
-      auto recv_var_name = v.first;
-      if (recv_var_name == LISTEN_TERMINATE_MESSAGE) {
-        LOG(INFO) << "received terminate message and exit";
-        exit_flag = true;
-        break;
-      } else if (recv_var_name == BATCH_BARRIER_MESSAGE) {
-        VLOG(3) << "recv batch barrier message";
-        batch_barrier++;
-        continue;
-      } else {
-        VLOG(3) << "received grad: " << recv_var_name;
-        recv_var_cnt++;
-        auto var = v.second->GetVar();
-        if (var == nullptr) {
-          LOG(ERROR) << "Can not find server side var: " << recv_var_name;
-          PADDLE_THROW("Can not find server side var");
-        }
-        if (var->IsType<framework::SelectedRows>()) {
-          sparse_vars.push_back(var);
-        }
-      }
-    }
-    if (exit_flag) {
-      rpc_service_->SetCond(1);
-      rpc_service_->ShutDown();
+    rpc_service_->SetCond(detail::kRequestSend);
+    rpc_service_->WaitBarrier(detail::kRequestSend);
+
+    if (rpc_service_->IsExit()) {
+      LOG(WARNING) << "get exit!rpc_processor break!";
+      rpc_service_->SetCond(detail::kRequestGet);
       break;
     }
 
     // NOTE: if is_gpu_place, CUDA kernels are launched by multiple threads
     // and this will still work.
-
     // The optimize blocks which have the same parent ID would run parallel
     // TODO(Yancey1989): need to use ParallelExecutor for future
     int32_t last_parent_blkid = program->Block(1).Parent();
@@ -194,52 +155,18 @@ void ListenAndServOp::RunSyncLoop(framework::Executor *executor,
       var->GetMutable<framework::SelectedRows>()->mutable_rows()->clear();
     }
 
-    rpc_service_->SetCond(1);
-    // FIXME(typhoonzero): use another condition to sync wait clients get.
-    rpc_service_->WaitClientGet(fan_in);
-    sparse_vars.clear();
+    rpc_service_->SetCond(detail::kRequestGet);
+    rpc_service_->WaitBarrier(detail::kRequestGet);
+    rpc_service_->ResetBarrierCounter();
   }  // while(true)
 }
 
-static void AsyncUpdateThread(
-    const std::string &var_name, const bool &exit_flag,
-    const std::shared_ptr<detail::ReceivedQueue> &queue,
-    framework::Executor *executor,
-    framework::ExecutorPrepareContext *prepared) {
-  VLOG(3) << "update thread for " << var_name << " started";
-  while (!exit_flag && !SignalHandler::IsProgramExit()) {
-    const detail::ReceivedMessage v = queue->Pop();
-    if (SignalHandler::IsProgramExit()) {
-      VLOG(3) << "update thread for " << var_name << " exit";
-      break;
-    }
-    auto recv_var_name = v.first;
-    VLOG(4) << "async update " << recv_var_name;
-    auto var = v.second->GetVar();
-    if (var == nullptr) {
-      LOG(ERROR) << "Can not find server side var: " << recv_var_name;
-      PADDLE_THROW("Can not find server side var");
-    }
-    auto fs = framework::Async([var_name, &executor, &v, prepared] {
-      try {
-        executor->RunPreparedContext(prepared,
-                                     v.second->GetMutableLocalScope());
-      } catch (const std::exception &e) {
-        LOG(ERROR) << "run sub program error " << e.what();
-      }
-    });
-    fs.wait();
-  }
-}
-
 void ListenAndServOp::RunAsyncLoop(framework::Executor *executor,
                                    framework::ProgramDesc *program) const {
   VLOG(3) << "RunAsyncLoop in";
   // grad name to block id
   std::unordered_map<std::string, int32_t> grad_to_block_id;
   std::unordered_map<int32_t, std::string> id_to_grad;
-  std::unordered_map<std::string, std::shared_ptr<detail::ReceivedQueue>>
-      grad_to_queue;
 
   auto grad_to_block_id_str =
       Attr<std::vector<std::string>>("grad_to_block_id");
@@ -249,13 +176,9 @@ void ListenAndServOp::RunAsyncLoop(framework::Executor *executor,
     VLOG(3) << "after split, grad = " << pieces[0] << ", id=" << pieces[1];
     PADDLE_ENFORCE_EQ(pieces.size(), 2);
     PADDLE_ENFORCE_EQ(grad_to_block_id.count(pieces[0]), 0);
+
     int block_id = std::stoi(pieces[1]);
     grad_to_block_id[pieces[0]] = block_id;
-    std::shared_ptr<detail::ReceivedQueue> queue =
-        std::make_shared<detail::ReceivedQueue>();
-    grad_to_queue[pieces[0]] = queue;
-    // record blocking queue in SignalHandler
-    SignalHandler::RegisterBlockingQueue(queue);
     id_to_grad[block_id] = pieces[0];
   }
   size_t num_blocks = program->Size();
@@ -274,39 +197,36 @@ void ListenAndServOp::RunAsyncLoop(framework::Executor *executor,
     grad_to_prepared_ctx[id_to_grad[block_list[i]]] = optimize_prepared[i];
   }
 
-  bool exit_flag = false;
+  request_send_handler_->SetGradToPreparedCtx(&grad_to_prepared_ctx);
+  request_get_handler_->SetGradToPreparedCtx(&grad_to_prepared_ctx);
+  request_prefetch_handler_->SetGradToPreparedCtx(&grad_to_prepared_ctx);
 
-  VLOG(3) << "start async optimize threads";
-  std::vector<std::future<void>> fs;
-  for (auto iter = grad_to_queue.begin(); iter != grad_to_queue.end(); iter++) {
-    std::string grad_name = iter->first;
-    VLOG(3) << "create async update thread for " << grad_name;
-    fs.push_back(framework::AsyncIO([grad_name, &exit_flag, &executor,
-                                     &grad_to_queue, &grad_to_prepared_ctx]() {
-      AsyncUpdateThread(grad_name, exit_flag, grad_to_queue[grad_name],
-                        executor, grad_to_prepared_ctx[grad_name].get());
-    }));
-  }
   VLOG(3) << "RunAsyncLoop into while";
-  while (!exit_flag && !SignalHandler::IsProgramExit()) {
-    const detail::ReceivedMessage v = rpc_service_->Get();
-    auto recv_var_name = v.first;
-    if (recv_var_name == LISTEN_TERMINATE_MESSAGE) {
-      LOG(INFO) << "received terminate message and exit";
-      exit_flag = true;
+  while (true) {
+    if (rpc_service_->IsExit()) {
+      LOG(INFO) << "get exit!rpc_processor break!";
       break;
-    } else {
-      VLOG(3) << "received grad: " << recv_var_name;
-      grad_to_queue[recv_var_name]->Push(v);
     }
 
-    if (exit_flag) {
-      rpc_service_->ShutDown();
-      break;
-    }
+    sleep(1);
   }  // while(true)
 }
 
+static void FillRequestCtx(detail::RequestHandler *h, framework::Scope *scope,
+                           platform::DeviceContext *dev_ctx,
+                           framework::Executor *executor,
+                           framework::ProgramDesc *program,
+                           framework::ExecutorPrepareContext *prefetch_ctx,
+                           detail::RPCServer *rpc_server) {
+  h->SetScope(scope);
+  h->SetDevCtx(dev_ctx);
+  h->SetExecutor(executor);
+  h->SetProgram(program);
+  h->SetPrefetchPreparedCtx(std::move(
+      std::unique_ptr<framework::ExecutorPrepareContext>(prefetch_ctx)));
+  h->SetRPCServer(rpc_server);
+}
+
 void ListenAndServOp::RunImpl(const framework::Scope &scope,
                               const platform::Place &dev_place) const {
   // Mark this as PS that it should decide profiling by listening from trainer.
@@ -316,27 +236,42 @@ void ListenAndServOp::RunImpl(const framework::Scope &scope,
   framework::Scope &recv_scope = scope.NewScope();
 
   bool sync_mode = Attr<bool>("sync_mode");
+  auto fan_in = Attr<int>("Fanin");
 
   PADDLE_ENFORCE(!rpc_service_);
   std::string endpoint = Attr<std::string>("endpoint");
 
-  rpc_service_.reset(new detail::AsyncGRPCServer(endpoint, sync_mode));
+  LOG(INFO) << "sync_mode:" << sync_mode << ", fan_in:" << fan_in
+            << ", end_point:" << endpoint;
+
+  // request_handler_.reset(new detail::GRPCRequestSendHandler(sync_mode));
+  rpc_service_.reset(new detail::AsyncGRPCServer(endpoint, fan_in));
+  request_send_handler_.reset(new detail::RequestSendHandler(sync_mode));
+  request_get_handler_.reset(new detail::RequestGetHandler(sync_mode));
+  request_prefetch_handler_.reset(
+      new detail::RequestPrefetchHandler(sync_mode));
+
+  rpc_service_->RegisterRPC(detail::kRequestSend, request_send_handler_.get());
+  rpc_service_->RegisterRPC(detail::kRequestGet, request_get_handler_.get());
+  rpc_service_->RegisterRPC(detail::kRequestPrefetch,
+                            request_prefetch_handler_.get());
 
   auto *optimize_block = Attr<framework::BlockDesc *>(kOptimizeBlock);
   auto *prefetch_block = Attr<framework::BlockDesc *>(kPrefetchBlock);
   auto *program = optimize_block->Program();
   framework::Executor executor(dev_place);
 
-  // prepare rpc_service
-  rpc_service_->SetScope(&recv_scope);
-  rpc_service_->SetDevCtx(&dev_ctx);
-  rpc_service_->SetProgram(program);
-  rpc_service_->SetExecutor(&executor);
-
   // prepare for prefetch
   VLOG(3) << "prefetch block id is " << prefetch_block->ID();
   auto prefetch_prepared = executor.Prepare(*program, prefetch_block->ID());
-  rpc_service_->SetPrefetchPreparedCtx(std::move(prefetch_prepared));
+
+  auto f = std::bind(FillRequestCtx, std::placeholders::_1, &recv_scope,
+                     &dev_ctx, &executor, program, prefetch_prepared.release(),
+                     rpc_service_.get());
+
+  f(request_send_handler_.get());
+  f(request_get_handler_.get());
+  f(request_prefetch_handler_.get());
 
   // start the server listening after all member initialized.
   server_thread_.reset(new std::thread(RunServer, rpc_service_));
@@ -348,8 +283,6 @@ void ListenAndServOp::RunImpl(const framework::Scope &scope,
   signal(SIGTERM, SignalHandler::StopAndExit);
 
   // Write to a file of server selected port for python use.
-  std::string file_path = string::Sprintf("/tmp/paddle.%d.selected_port",
-                                          static_cast<int>(::getpid()));
   SavePort();
   if (sync_mode) {
     RunSyncLoop(&executor, program, &recv_scope, prefetch_block);
@@ -385,27 +318,9 @@ class ListenAndServOpMaker : public framework::OpProtoAndCheckerMaker {
   }
 };
 
-bool SignalHandler::program_exit_flag_ = false;
-
-SignalHandler::BlockingQueueSet SignalHandler::blocking_queue_set_{};
-
 void SignalHandler::StopAndExit(int signal_num) {
   VLOG(3) << "Catch interrupt signal: " << signal_num << ", program will exit";
-
-  program_exit_flag_ = true;
-
-  // awake all blocking queues
-  for (BlockingQueueSet::iterator iter = blocking_queue_set_.begin();
-       iter != blocking_queue_set_.end(); iter++) {
-    iter->get()->Push(
-        std::make_pair(std::string(LISTEN_TERMINATE_MESSAGE), nullptr));
-  }
-
-  exit(EXIT_SUCCESS);
-}
-
-void SignalHandler::RegisterBlockingQueue(BlockingQueue &queue) {
-  blocking_queue_set_.insert(queue);
+  exit(0);
 }
 
 }  // namespace operators

paddle/fluid/operators/listen_and_serv_op.h

@@ -23,7 +23,8 @@ limitations under the License. */
 #include "paddle/fluid/framework/lod_tensor.h"
 #include "paddle/fluid/framework/op_registry.h"
 #include "paddle/fluid/framework/threadpool.h"
-#include "paddle/fluid/operators/detail/grpc_server.h"
+#include "paddle/fluid/operators/detail/request_handler.h"
+#include "paddle/fluid/operators/detail/rpc_server.h"
 
 namespace paddle {
 namespace operators {
@@ -31,7 +32,7 @@ namespace operators {
 constexpr char kOptimizeBlock[] = "OptimizeBlock";
 constexpr char kPrefetchBlock[] = "PrefetchBlock";
 
-void RunServer(std::shared_ptr<detail::AsyncGRPCServer> service);
+void RunServer(std::shared_ptr<detail::RPCServer> service);
 
 class ListenAndServOp : public framework::OperatorBase {
  public:
@@ -52,41 +53,27 @@ class ListenAndServOp : public framework::OperatorBase {
 
   void SavePort() const;
 
-  void WaitServerReady();
-
-  int GetSelectedPort() { return selected_port_; }
+  int GetSelectedPort() { return rpc_service_->GetSelectedPort(); }
 
   void Stop() override;
 
   void RunImpl(const framework::Scope& scope,
                const platform::Place& dev_place) const override;
 
-  static void ResetPort() { selected_port_ = 0; }
-
  protected:
-  mutable std::shared_ptr<detail::AsyncGRPCServer> rpc_service_;
+  mutable std::shared_ptr<detail::RPCServer> rpc_service_;
+  mutable std::shared_ptr<detail::RequestHandler> request_send_handler_;
+  mutable std::shared_ptr<detail::RequestHandler> request_get_handler_;
+  mutable std::shared_ptr<detail::RequestHandler> request_prefetch_handler_;
+
   mutable std::shared_ptr<std::thread> server_thread_;
-  // FIXME(wuyi): it's static so that the operator can be cloned.
-  static std::atomic_int selected_port_;
 };
 
 class SignalHandler {
- public:
-  typedef std::shared_ptr<detail::ReceivedQueue> BlockingQueue;
-  typedef std::unordered_set<BlockingQueue> BlockingQueueSet;
-
  public:
   static void StopAndExit(int signal_num);
 
-  static void RegisterBlockingQueue(BlockingQueue&);
-
-  static inline bool IsProgramExit() { return program_exit_flag_; }
-
  private:
-  static bool program_exit_flag_;
-
-  static BlockingQueueSet blocking_queue_set_;
-
   DISABLE_COPY_AND_ASSIGN(SignalHandler);
 };
 

paddle/fluid/operators/send_barrier_op.cc

@@ -46,6 +46,8 @@ class SendBarrierOp : public framework::OperatorBase {
 
     auto rpc_client = detail::RPCClient::GetInstance();
 
+    VLOG(3) << "SendBarrierOp sync_mode:" << sync_mode;
+
     // need to wait before sending send_barrier message
     PADDLE_ENFORCE(rpc_client->Wait());
     if (sync_mode) {

paddle/fluid/operators/test_send_nccl_id.cc

@@ -21,6 +21,8 @@ limitations under the License. */
 #include "paddle/fluid/framework/operator.h"
 #include "paddle/fluid/framework/program_desc.h"
 #include "paddle/fluid/operators/detail/grpc_client.h"
+#include "paddle/fluid/operators/detail/grpc_server.h"
+#include "paddle/fluid/operators/detail/request_handler_impl.h"
 #include "paddle/fluid/operators/listen_and_serv_op.h"
 #include "paddle/fluid/operators/math/math_function.h"
 #include "paddle/fluid/operators/math/selected_rows_functor.h"
@@ -35,42 +37,44 @@ namespace m = paddle::operators::math;
 namespace detail = paddle::operators::detail;
 namespace string = paddle::string;
 
-std::unique_ptr<detail::AsyncGRPCServer> rpc_service;
+std::unique_ptr<detail::AsyncGRPCServer> g_rpc_service;
+std::unique_ptr<detail::RequestHandler> g_req_handler;
 
-void StartServer(std::atomic<bool>* initialized) {
+void StartServer() {
   f::Scope scope;
   p::CPUPlace place;
   scope.Var(NCCL_ID_VARNAME);
   p::DeviceContextPool& pool = p::DeviceContextPool::Instance();
   auto& dev_ctx = *pool.Get(p::CPUPlace());
 
-  rpc_service.reset(new detail::AsyncGRPCServer("127.0.0.1:0", true));
-
   f::ProgramDesc empty_program;
   f::Executor executor(dev_ctx.GetPlace());
-  rpc_service->SetScope(&scope);
-  rpc_service->SetDevCtx(&dev_ctx);
-  rpc_service->SetProgram(&empty_program);
-  rpc_service->SetExecutor(&executor);
+  g_req_handler->SetScope(&scope);
+  g_req_handler->SetDevCtx(&dev_ctx);
+  g_req_handler->SetProgram(&empty_program);
+  g_req_handler->SetExecutor(&executor);
+
+  g_rpc_service->RegisterRPC(detail::kRequestSend, g_req_handler.get());
+  g_req_handler->SetRPCServer(g_rpc_service.get());
 
   std::thread server_thread(
-      std::bind(&detail::AsyncGRPCServer::RunSyncUpdate, rpc_service.get()));
-  *initialized = true;
-  rpc_service->SetCond(0);
-  auto recv = rpc_service->Get();
+      std::bind(&detail::AsyncGRPCServer::StartServer, g_rpc_service.get()));
+
+  g_rpc_service->SetCond(detail::kRequestSend);
+  std::cout << "before WaitFanInOfSend" << std::endl;
+  g_rpc_service->WaitBarrier(detail::kRequestSend);
+
   LOG(INFO) << "got nccl id and stop server...";
-  rpc_service->ShutDown();
+  g_rpc_service->ShutDown();
   server_thread.join();
 }
 
-TEST(SendNcclId, DISABLED_Normal) {
-  std::atomic<bool> initialized{false};
-  std::thread server_thread(StartServer, &initialized);
-  while (!initialized) {
-  }
-  // wait server to start
-  // sleep(2);
-  rpc_service->WaitServerReady();
+TEST(SendNcclId, GrpcServer) {
+  g_req_handler.reset(new detail::RequestSendHandler(true));
+  g_rpc_service.reset(new detail::AsyncGRPCServer("127.0.0.1:0", 1));
+
+  std::thread server_thread(StartServer);
+  g_rpc_service->WaitServerReady();
 
   f::Scope scope;
   p::CPUPlace place;
@@ -78,17 +82,20 @@ TEST(SendNcclId, DISABLED_Normal) {
   auto& dev_ctx = *pool.Get(p::CPUPlace());
 
   auto var = scope.Var(NCCL_ID_VARNAME);
-  // var->SetType(f::proto::VarType_Type_RAW);
   auto id = var->GetMutable<ncclUniqueId>();
   p::dynload::ncclGetUniqueId(id);
 
-  int port = rpc_service->GetSelectedPort();
+  int port = g_rpc_service->GetSelectedPort();
+
   std::string ep = string::Sprintf("127.0.0.1:%d", port);
   detail::RPCClient client;
-
+  LOG(INFO) << "connect to server" << ep;
   client.AsyncSendVariable(ep, dev_ctx, scope, NCCL_ID_VARNAME);
   client.Wait();
+  client.AsyncSendBatchBarrier(ep);
+  client.Wait();
+
   server_thread.join();
-  auto* ptr = rpc_service.release();
-  delete ptr;
+  g_rpc_service.reset(nullptr);
+  g_req_handler.reset(nullptr);
 }

paddle/fluid/platform/nccl_helper.h

@@ -15,6 +15,7 @@
 #pragma once
 
 #include <stdio.h>
+#include <string>
 #include <thread>  // NOLINT
 #include <typeindex>
 #include <vector>