Trainer send term signal

cmake/configure.cmake

@@ -118,6 +118,10 @@ endif()
 set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${SIMD_FLAG}")
 set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${SIMD_FLAG}")
 
+if(WITH_DISTRIBUTE)
+  add_definitions(-DPADDLE_WITH_DISTRIBUTE)
+endif()
+
 if(WITH_GOLANG)
   # we need to symlink Paddle directory into GOPATH. If we
   # don't do it and we have code that depends on Paddle, go

paddle/fluid/framework/CMakeLists.txt

@@ -83,8 +83,13 @@ cc_library(lod_rank_table SRCS lod_rank_table.cc DEPS lod_tensor)
 
 cc_library(feed_fetch_method SRCS feed_fetch_method.cc DEPS lod_tensor scope glog)
 
-cc_library(executor SRCS executor.cc DEPS op_registry device_context scope
-framework_proto glog lod_rank_table feed_fetch_method)
+if(WITH_DISTRIBUTE)
+  cc_library(executor SRCS executor.cc DEPS op_registry device_context scope framework_proto glog lod_rank_table feed_fetch_method sendrecvop_grpc grpc++_unsecure grpc_unsecure gpr)
+  set(DISTRIBUTE_COMPILE_FLAGS "-Wno-non-virtual-dtor -Wno-error=non-virtual-dtor -Wno-error=delete-non-virtual-dtor")
+  set_source_files_properties(executor.cc PROPERTIES COMPILE_FLAGS ${DISTRIBUTE_COMPILE_FLAGS})
+else()
+  cc_library(executor SRCS executor.cc DEPS op_registry device_context scope framework_proto glog lod_rank_table feed_fetch_method)
+endif()
 
 
 cc_library(parallel_executor SRCS parallel_executor.cc DEPS ssa_graph_builder_factory threaded_ssa_graph_executor scope_buffered_ssa_graph_executor)

paddle/fluid/framework/executor.cc

@@ -20,6 +20,9 @@ limitations under the License. */
 #include "paddle/fluid/framework/lod_tensor_array.h"
 #include "paddle/fluid/framework/op_registry.h"
 #include "paddle/fluid/framework/reader.h"
+#ifdef PADDLE_WITH_DISTRIBUTE
+#include "paddle/fluid/operators/detail/grpc_client.h"
+#endif
 #include "paddle/fluid/platform/place.h"
 #include "paddle/fluid/platform/profiler.h"
 
@@ -44,6 +47,14 @@ ExecutorPrepareContext::~ExecutorPrepareContext() {
 
 Executor::Executor(const platform::Place& place) : place_(place) {}
 
+#ifdef PADDLE_WITH_DISTRIBUTE
+void Executor::Complete() {
+  ::paddle::operators::detail::RPCClient::GetInstance<
+      ::paddle::operators::detail::GRPCClient>()
+      ->SendComplete();
+}
+#endif
+
 void InitializeVariable(Variable* var, proto::VarType::Type var_type) {
   if (var_type == proto::VarType::LOD_TENSOR) {
     var->GetMutable<LoDTensor>();

paddle/fluid/framework/executor.h

@@ -44,6 +44,13 @@ class Executor {
 
   explicit Executor(const platform::Place& place);
 
+#ifdef PADDLE_WITH_DISTRIBUTE
+  /*
+   * Sending signal to pserver to mark current trainer stop.
+   */
+  void Complete();
+#endif
+
   /* @Brief
    * Runtime evaluation of the given ProgramDesc under certain Scope
    *

paddle/fluid/operators/detail/grpc_client.cc

@@ -34,6 +34,12 @@ void GRPCClient::InitEventLoop() {
   client_thread_.reset(new std::thread(std::bind(&GRPCClient::Proceed, this)));
 }
 
+void GRPCClient::SendComplete() {
+  for (auto& it : channels_) {
+    this->AsyncSendComplete(it.first);
+  }
+}
+
 GRPCClient::~GRPCClient() {
   Wait();
   cq_.Shutdown();
@@ -210,6 +216,19 @@ void GRPCClient::AsyncSendFetchBarrier(const std::string& ep,
   req_count_++;
 }
 
+void GRPCClient::AsyncSendComplete(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);
+  auto rpc = s->stub_->AsyncSendVariable(s->context_.get(), req, &cq_);
+  rpc->Finish(&s->reply_, &s->status_, reinterpret_cast<void*>(s));
+  req_count_++;
+}
+
 void GRPCClient::Wait() {
   std::unique_lock<std::mutex> lk(sync_mutex_);
   sync_cond_.wait(lk, [this] { return req_count_ == 0; });

paddle/fluid/operators/detail/grpc_client.h

@@ -195,6 +195,8 @@ class GRPCClient : public RPCClient {
 
   void Wait() override;
 
+  void SendComplete() override;
+
  protected:
   void InitImpl() override;
 
@@ -204,6 +206,9 @@ class GRPCClient : public RPCClient {
 
   void Proceed();
 
+  void AsyncSendComplete(const std::string& ep,
+                         int64_t time_out = RPCClient::rpc_time_out);
+
   std::shared_ptr<grpc::Channel> GetChannel(const std::string& ep);
 
  private:

paddle/fluid/operators/detail/request_handler.h

@@ -40,6 +40,7 @@ constexpr char kRequestPrefetch[] = "RequestPrefetch";
 #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"
 
 class RPCServer;
 

paddle/fluid/operators/detail/request_handler_impl.cc

@@ -49,6 +49,9 @@ 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 {
     VLOG(3) << "sync: received var_name: " << varname;
     if (sync_mode_) {

paddle/fluid/operators/detail/rpc_client.h

@@ -53,6 +53,11 @@ class RPCClient {
   virtual void AsyncSendFetchBarrier(const std::string& ep,
                                      int64_t time_out = rpc_time_out) = 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 Wait() = 0;
 
   static constexpr int64_t rpc_time_out = 120 * 1000;

paddle/fluid/operators/detail/rpc_server.cc

@@ -43,7 +43,7 @@ void RPCServer::SavePort() const {
 
 void RPCServer::WaitBarrier(const std::string& rpc_name) {
   std::unique_lock<std::mutex> lock(this->mutex_);
-  barrier_cond_.wait(lock, [=] {
+  barrier_cond_.wait(lock, [this, &rpc_name] {
     return (barrier_counter_[rpc_name] >= client_num_ || exit_flag_.load());
   });
 
@@ -53,19 +53,23 @@ void RPCServer::WaitBarrier(const std::string& 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_;
-
+  std::unique_lock<std::mutex> lock(mutex_);
+  b = ++barrier_counter_[rpc_name];
   if (b >= client_num_) {
+    lock.unlock();
     barrier_cond_.notify_all();
+    lock.lock();
   }
 }
 
+void RPCServer::DecreaseClientNum() {
+  {
+    std::unique_lock<std::mutex> lock(mutex_);
+    client_num_--;
+  }
+  barrier_cond_.notify_all();
+}
+
 void RPCServer::ResetBarrierCounter() {
   VLOG(3) << "RPCServer ResetBarrierCounter ";
   std::unique_lock<std::mutex> lock(mutex_);

paddle/fluid/operators/detail/rpc_server.h

@@ -60,7 +60,7 @@ 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 ResetBarrierCounter();
 
  protected:
@@ -79,8 +79,7 @@ class RPCServer {
   std::string bind_address_;
   std::atomic<int> exit_flag_;
   int selected_port_;
-
-  const int client_num_;
+  int client_num_;
 
   std::unordered_map<std::string, RequestHandler*> rpc_call_map_;
   std::unordered_map<std::string, int> rpc_thread_num_;

paddle/fluid/pybind/pybind.cc

@@ -413,6 +413,9 @@ 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)
+#endif
       .def("run",
            (void (Executor::*)(const ProgramDesc &, Scope *, int, bool, bool)) &
                Executor::Run);