Merge pull request #11868 from Yancey1989/dist_pass_barrier

add dist pass barrier

paddle/fluid/framework/executor.cc

@@ -46,9 +46,16 @@ ExecutorPrepareContext::~ExecutorPrepareContext() {
 Executor::Executor(const platform::Place& place) : place_(place) {}
 
 #ifdef PADDLE_WITH_DISTRIBUTE
-void Executor::Complete() {
-  ::paddle::operators::distributed::RPCClient::GetInstance<RPCCLIENT_T>()
-      ->SendComplete();
+void Executor::BeginPass() {
+  ::paddle::operators::distributed::RPCClient::GetInstance<
+      ::paddle::operators::distributed::GRPCClient>()
+      ->SendBeginPass();
+}
+
+void Executor::EndPass() {
+  ::paddle::operators::distributed::RPCClient::GetInstance<
+      ::paddle::operators::distributed::GRPCClient>()
+      ->SendEndPass();
 }
 #endif
 

paddle/fluid/framework/executor.h

@@ -46,9 +46,14 @@ class Executor {
 
 #ifdef PADDLE_WITH_DISTRIBUTE
   /*
-   * Sending signal to pserver to mark current trainer stop.
+   * Sending signal to pserver to mark current pass started.
    */
-  void Complete();
+  void BeginPass();
+
+  /*
+   * Sending signal to pserver to mark current pass finished.
+   */
+  void EndPass();
 #endif
 
   /* @Brief

paddle/fluid/operators/distributed/grpc_client.cc

@@ -35,10 +35,20 @@ void GRPCClient::InitEventLoop() {
   client_thread_.reset(new std::thread(std::bind(&GRPCClient::Proceed, this)));
 }
 
-void GRPCClient::SendComplete() {
+void GRPCClient::SendBeginPass() {
   for (auto& it : channels_) {
-    this->AsyncSendComplete(it.first);
+    VLOG(3) << "send begin pass to: " << it.first;
+    this->AsyncSendBeginPass(it.first);
   }
+  this->Wait();
+}
+
+void GRPCClient::SendEndPass() {
+  for (auto& it : channels_) {
+    VLOG(3) << "send end pass to " << it.first;
+    this->AsyncSendEndPass(it.first);
+  }
+  this->Wait();
 }
 
 GRPCClient::~GRPCClient() {
@@ -226,19 +236,32 @@ void GRPCClient::AsyncSendFetchBarrier(const std::string& ep,
   req_count_++;
 }
 
-void GRPCClient::AsyncSendComplete(const std::string& ep, int64_t time_out) {
+void GRPCClient::AsyncSendBeginPass(const std::string& ep, int64_t time_out) {
   const auto ch = GetChannel(ep);
 
   BatchBarrierProcessor* s = new BatchBarrierProcessor(ch);
   s->Prepare(time_out);
 
   sendrecv::VariableMessage req;
-  req.set_varname(COMPLETE_MESSAGE);
+  req.set_varname(BEGIN_PASS_MESSAGE);
   auto rpc = s->stub_->AsyncSendVariable(s->context_.get(), req, &cq_);
   rpc->Finish(&s->reply_, &s->status_, reinterpret_cast<void*>(s));
   req_count_++;
 }
 
+void GRPCClient::AsyncSendEndPass(const std::string& ep, int64_t time_out) {
+  const auto ch = GetChannel(ep);
+
+  FetchBarrierProcessor* s = new FetchBarrierProcessor(ch);
+  s->Prepare(time_out);
+
+  sendrecv::VariableMessage req;
+  req.set_varname(END_PASS_MESSAGE);
+  auto rpc = s->stub_->AsyncGetVariable(s->context_.get(), req, &cq_);
+  rpc->Finish(&s->reply_, &s->status_, reinterpret_cast<void*>(s));
+  req_count_++;
+}
+
 void GRPCClient::AsyncCheckpointNotify(const std::string& ep,
                                        const std::string& dir,
                                        int64_t time_out) {

paddle/fluid/operators/distributed/grpc_client.h

@@ -77,12 +77,13 @@ class BaseProcessor {
     context_.reset(new grpc::ClientContext());
     var_h_ = var_info;
     context_->set_wait_for_ready(true);
-
+    if (time_out) {
       std::chrono::system_clock::time_point deadline =
-        std::chrono::system_clock::now() + std::chrono::milliseconds(time_out);
-
+          std::chrono::system_clock::now() +
+          std::chrono::milliseconds(time_out);
       context_->set_deadline(deadline);
     }
+  }
 
   virtual void Prepare(int64_t time_out) {
     context_.reset(new grpc::ClientContext());
@@ -214,9 +215,17 @@ class GRPCClient : public RPCClient {
   void AsyncCheckpointNotify(const std::string& ep, const std::string& dir,
                              int64_t time_out = FLAGS_rpc_deadline) override;
 
+  void AsyncSendBeginPass(const std::string& ep,
+                          int64_t time_out = FLAGS_rpc_deadline) override;
+
+  void AsyncSendEndPass(const std::string& ep,
+                        int64_t time_out = FLAGS_rpc_deadline) override;
+
   void Wait() override;
 
-  void SendComplete() override;
+  void SendBeginPass() override;
+
+  void SendEndPass() override;
 
  protected:
   void InitImpl() override;
@@ -227,9 +236,6 @@ class GRPCClient : public RPCClient {
 
   void Proceed();
 
-  void AsyncSendComplete(const std::string& ep,
-                         int64_t time_out = FLAGS_rpc_deadline);
-
   std::shared_ptr<grpc::Channel> GetChannel(const std::string& ep);
 
  private:

paddle/fluid/operators/distributed/request_handler.h

@@ -37,11 +37,14 @@ constexpr char kRequestSend[] = "RequestSend";
 constexpr char kRequestGet[] = "RequestGet";
 constexpr char kRequestPrefetch[] = "RequestPrefetch";
 constexpr char kRequestCheckpoint[] = "RequestCheckpoint";
+constexpr char kRequestPassBarrier[] = "RequestPassBarrier";
 
 #define LISTEN_TERMINATE_MESSAGE "TERMINATE@RECV"
 #define BATCH_BARRIER_MESSAGE "BATCH_BARRIER@RECV"
 #define FETCH_BARRIER_MESSAGE "FETCH_BARRIER@RECV"
 #define COMPLETE_MESSAGE "COMPLETE@RECV"
+#define BEGIN_PASS_MESSAGE "BEGIN_PASS@RECV"
+#define END_PASS_MESSAGE "END_PASS@RECV"
 
 #define CHECKPOINT_SAVE_MESSAGE "SAVE@CHECKPOINTNOTIFY"
 #define CHECKPOINT_LOAD_MESSAGE "LOAD@CHECKPOINTNOTIFY"

paddle/fluid/operators/distributed/request_handler_impl.cc

@@ -55,14 +55,14 @@ bool RequestSendHandler::Handle(const std::string& varname,
   if (varname == BATCH_BARRIER_MESSAGE) {
     VLOG(3) << "sync: recv batch barrier message";
     rpc_server_->IncreaseBatchBarrier(kRequestSend);
-  } else if (varname == COMPLETE_MESSAGE) {
-    VLOG(3) << "sync: recv complete message";
-    rpc_server_->DecreaseClientNum();
+  } else if (varname == BEGIN_PASS_MESSAGE) {
+    VLOG(3) << "sync: recv begin pass message";
+    rpc_server_->WaitCond(kRequestSend);
+    rpc_server_->BeginPass();
   } else {
     VLOG(3) << "sync: received var_name: " << varname;
-    if (sync_mode_) {
     rpc_server_->WaitCond(kRequestSend);
-    }
+    VLOG(3) << "sync: processing received var: " << varname;
 
     if (invar == nullptr) {
       LOG(ERROR) << "sync: Can not find server side var: " << varname;
@@ -91,21 +91,21 @@ bool RequestGetHandler::Handle(const std::string& varname,
                                framework::Variable** outvar,
                                const std::string& out_var_name) {
   VLOG(4) << "RequestGetHandler:" << varname;
-
-  if (varname != FETCH_BARRIER_MESSAGE) {
   if (sync_mode_) {
+    if (varname == FETCH_BARRIER_MESSAGE) {
+      VLOG(3) << "sync: recv fetch barrier message";
+      rpc_server_->IncreaseBatchBarrier(kRequestGet);
+    } else if (varname == END_PASS_MESSAGE) {
+      rpc_server_->EndPass();
+    } else {
       rpc_server_->WaitCond(kRequestGet);
+      *outvar = scope_->FindVar(varname);
     }
+  } else {
+    if (varname != FETCH_BARRIER_MESSAGE && varname != END_PASS_MESSAGE) {
       *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;
 }
 

paddle/fluid/operators/distributed/rpc_client.h

@@ -60,10 +60,17 @@ class RPCClient {
                                      const std::string& dir,
                                      int64_t time_out = FLAGS_rpc_deadline) = 0;
 
-  // SendComplete tells all the server that current trainer have no more data
-  // to train, so that the pserver can reduce it's barrier count, and continue
-  // to train with other trainers.
-  virtual void SendComplete() = 0;
+  virtual void AsyncSendBeginPass(const std::string& ep,
+                                  int64_t time_out = FLAGS_rpc_deadline) = 0;
+
+  virtual void AsyncSendEndPass(const std::string& ep,
+                                int64_t time_out = FLAGS_rpc_deadline) = 0;
+
+  // BeginePass/EndPass tells all the pserver that start/end a pass, so that
+  // the pserver can increase/reduce it's barrier count, and continue to train
+  // with other trainers.
+  virtual void SendBeginPass() = 0;
+  virtual void SendEndPass() = 0;
 
   virtual void Wait() = 0;
 

paddle/fluid/operators/distributed/rpc_server.cc

@@ -44,7 +44,8 @@ void RPCServer::SavePort() const {
 void RPCServer::WaitBarrier(const std::string& rpc_name) {
   std::unique_lock<std::mutex> lock(this->mutex_);
   barrier_cond_.wait(lock, [this, &rpc_name] {
-    return (barrier_counter_[rpc_name] >= client_num_ || exit_flag_.load());
+    return ((barrier_counter_[rpc_name] == client_num_ && client_num_ != 0) ||
+            exit_flag_.load());
   });
 
   VLOG(3) << "batch_barrier_: " << rpc_name << " "
@@ -63,10 +64,25 @@ void RPCServer::IncreaseBatchBarrier(const std::string rpc_name) {
   }
 }
 
-void RPCServer::DecreaseClientNum() {
+void RPCServer::BeginPass() {
+  VLOG(4) << "RPCServer begin increase pass barrier";
+  {
+    std::unique_lock<std::mutex> lock(mutex_);
+    client_num_++;
+    VLOG(4) << "increase client_num to: " << client_num_;
+  }
+  barrier_cond_.notify_all();
+}
+
+void RPCServer::EndPass() {
+  VLOG(4) << "RPCServer begin increase pass barrier";
   {
     std::unique_lock<std::mutex> lock(mutex_);
     client_num_--;
+    VLOG(4) << "decrease client_num to: " << client_num_;
+    if (cur_cond_.load() == rpc_cond_map_[kRequestGet]) {
+      barrier_counter_[kRequestGet]--;
+    }
   }
   barrier_cond_.notify_all();
 }

paddle/fluid/operators/distributed/rpc_server.h

@@ -43,6 +43,9 @@ class RPCServer {
   bool IsExit() { return exit_flag_.load(); }
 
   int GetSelectedPort() const { return selected_port_; }
+
+  int GetClientNum() const;
+
   void SavePort() const;
 
   // RegisterRPC, register the rpc method name to a handler
@@ -60,7 +63,10 @@ class RPCServer {
   void SetCond(const std::string& rpc_name);
   void WaitCond(const std::string& rpc_name);
   void IncreaseBatchBarrier(const std::string rpc_name);
-  void DecreaseClientNum();
+
+  void BeginPass();
+  void EndPass();
+
   void ResetBarrierCounter();
 
  protected:

paddle/fluid/pybind/pybind.cc

@@ -493,7 +493,8 @@ All parameter, weight, gradient are variables in Paddle.
   py::class_<framework::Executor>(m, "Executor")
       .def(py::init<const platform::Place &>())
 #ifdef PADDLE_WITH_DISTRIBUTE
-      .def("complete", &Executor::Complete)
+      .def("begin_pass", &Executor::BeginPass)
+      .def("end_pass", &Executor::EndPass)
 #endif
       .def("run", [](Executor &self, const ProgramDesc &prog, Scope *scope,
                      int block_id, bool create_local_scope, bool create_vars) {

python/paddle/fluid/executor.py

@@ -348,6 +348,12 @@ class Executor(object):
         ]
         return outs
 
+    def begin_pass(self):
+        self.executor.begin_pass()
+
+    def end_pass(self):
+        self.executor.end_pass()
+
     def run(self,
             program=None,
             feed=None,