config fleet optimize. test=develop (#39849)

paddle/fluid/framework/ps_gpu_trainer.cc

@@ -46,6 +46,48 @@ void PSGPUTrainer::Initialize(const TrainerDesc& trainer_desc,
       dense_grad_names_[table_id][j] = table.dense_grad_name(j);
     }
   }
+  InitializeGPUServer(trainer_desc);
+  scale_datanorm_ = trainer_desc.scale_datanorm();
+  int place_num = trainer_desc.worker_places_size();
+  const std::vector<paddle::framework::DataFeed*> readers =
+      dataset->GetReaders();
+  dump_file_num_ = trainer_desc.dump_file_num();
+  user_define_dump_filename_ = trainer_desc.user_define_dump_filename();
+  std::vector<int> dev_ids;
+  for (int i = 0; i < place_num; ++i) {
+    int num = trainer_desc.worker_places(i);
+    platform::CUDAPlace place = platform::CUDAPlace(num);
+    places_.push_back(place);
+    dev_ids.push_back(num);
+  }
+  for (int i = 0; i < trainer_desc.downpour_param().stat_var_names_size();
+       i++) {
+    need_merge_var_names_.push_back(
+        trainer_desc.downpour_param().stat_var_names(i));
+  }
+  VLOG(3) << "going to initialize pull dense worker";
+  SetDebug(trainer_desc.debug());
+  trainer_desc_ = trainer_desc;
+  workers_.resize(place_num);
+  for (int i = 0; i < place_num; ++i) {
+    workers_[i] = DeviceWorkerFactory::CreateDeviceWorker(
+        trainer_desc.device_worker_name());
+    workers_[i]->SetDeviceIndex(i);
+    workers_[i]->SetNeedDumpField(need_dump_field_);
+    workers_[i]->SetNeedDumpParam(need_dump_param_);
+    workers_[i]->SetDumpFieldVector(dump_fields_);
+    workers_[i]->SetDumpParamVector(dump_param_);
+    workers_[i]->InitRandomDumpConfig(trainer_desc);
+    workers_[i]->SetDataFeed(readers[i]);
+    workers_[i]->SetPlace(places_[i]);
+    workers_[i]->SetReaderPlace(places_[i]);
+    workers_[i]->Initialize(trainer_desc);
+    workers_[i]->SetWorkerNum(place_num);
+  }
+  return;
+}
+
+void PSGPUTrainer::InitializeGPUServer(const TrainerDesc& trainer_desc) {
   // add for hbmps optimizer config
   auto fleet_desc_str = trainer_desc.fleet_desc();
   google::protobuf::TextFormat::ParseFromString(fleet_desc_str, &_ps_param);
@@ -203,45 +245,6 @@ void PSGPUTrainer::Initialize(const TrainerDesc& trainer_desc,
 
   auto ps_gpu_wrapper = paddle::framework::PSGPUWrapper::GetInstance();
   ps_gpu_wrapper->InitializeGPUServer(config);
-
-  scale_datanorm_ = trainer_desc.scale_datanorm();
-  int place_num = trainer_desc.worker_places_size();
-  const std::vector<paddle::framework::DataFeed*> readers =
-      dataset->GetReaders();
-  dump_file_num_ = trainer_desc.dump_file_num();
-  user_define_dump_filename_ = trainer_desc.user_define_dump_filename();
-  std::vector<int> dev_ids;
-  for (int i = 0; i < place_num; ++i) {
-    int num = trainer_desc.worker_places(i);
-    platform::CUDAPlace place = platform::CUDAPlace(num);
-    places_.push_back(place);
-    dev_ids.push_back(num);
-  }
-  for (int i = 0; i < trainer_desc.downpour_param().stat_var_names_size();
-       i++) {
-    need_merge_var_names_.push_back(
-        trainer_desc.downpour_param().stat_var_names(i));
-  }
-  VLOG(3) << "going to initialize pull dense worker";
-  SetDebug(trainer_desc.debug());
-  trainer_desc_ = trainer_desc;
-  workers_.resize(place_num);
-  for (int i = 0; i < place_num; ++i) {
-    workers_[i] = DeviceWorkerFactory::CreateDeviceWorker(
-        trainer_desc.device_worker_name());
-    workers_[i]->SetDeviceIndex(i);
-    workers_[i]->SetNeedDumpField(need_dump_field_);
-    workers_[i]->SetNeedDumpParam(need_dump_param_);
-    workers_[i]->SetDumpFieldVector(dump_fields_);
-    workers_[i]->SetDumpParamVector(dump_param_);
-    workers_[i]->InitRandomDumpConfig(trainer_desc);
-    workers_[i]->SetDataFeed(readers[i]);
-    workers_[i]->SetPlace(places_[i]);
-    workers_[i]->SetReaderPlace(places_[i]);
-    workers_[i]->Initialize(trainer_desc);
-    workers_[i]->SetWorkerNum(place_num);
-  }
-  return;
 }
 
 std::string PSGPUTrainer::GetDumpPath(int tid) {

paddle/fluid/framework/trainer.h

@@ -271,6 +271,7 @@ class PSGPUTrainer : public TrainerBase {
 
   template <typename T>
   void MergeToRootScope(LoDTensor* root_tensor, LoDTensor* thread_tensor);
+  void InitializeGPUServer(const TrainerDesc& trainer_desc);
 
  protected:
   Dataset* dataset_;