add run from dataset in executor.

paddle/fluid/framework/executor.h

@@ -54,6 +54,7 @@ class Executor {
 
   explicit Executor(const platform::Place& place);
 
+  explicit Executor(Scope* scope, const platform::Place& place);
   /*
    * Close this Executor.
    * Calling this method will send complete messages to all pserver instances.
@@ -110,8 +111,20 @@ class Executor {
 
   void EnableMKLDNN(const ProgramDesc& program);
 
+  void RunFromTrainerDesc(const ProgramDesc& main_program,
+                          const std::string& trainer_desc_str,
+                          const bool debug);
+
+  void RunFromDataset(const ProgramDesc& main_program, const Dataset* dataset,
+                      const std::string& trainer_desc_str, const bool debug);
+
+ public:
+  std::shared_ptr<paddle::framework::FleetWrapper> fleet_ptr_;
+  Scope* root_scope_;
+
  private:
   const platform::Place place_;
+  int actual_thread_num_;
 };
 
 }  // namespace framework

paddle/fluid/framework/multi_trainer.cc

@@ -21,25 +21,34 @@ limitations under the License. */
 namespace paddle {
 namespace framework {
 
-void MultiTrainer::Initialize(const TrainerDesc& trainer_desc) {
+void MultiTrainer::Initialize(const TrainerDesc& trainer_desc,
+                              Dataset* dataset) {
   thread_num_ = trainer_desc.thread_num();
   // get filelist from trainer_desc here
   workers_.resize(thread_num_);
-  readers_.resize(thread_num_);
+
+  if (NULL == dataset) {
+    readers_.resize(thread_num_);
+    for (int i = 0; i < thread_num_; ++i) {
+      readers_[i] =
+          DataFeedFactory::CreateDataFeed(trainer_desc.data_desc().name());
+      readers_[i]->Init(trainer_desc.data_desc());
+    }
+    std::vector<std::string> filelist_vec;
+    for (unsigned i = 0; i < trainer_desc.filelist_size(); ++i) {
+      filelist_vec.push_back(trainer_desc.filelist(i));
+    }
+    readers_[0]->SetFileList(filelist_vec);
+  } else {
+    // readers_ = dataset.get_readers(); ?
+  }
+
   for (int i = 0; i < thread_num_; ++i) {
     workers_[i] = DeviceWorkerFactory::CreateDeviceWorker(
         trainer_desc.device_worker_name());
-    readers_[i] =
-        DataFeedFactory::CreateDataFeed(trainer_desc.data_desc().name());
     workers_[i]->SetDeviceIndex(i);
-    readers_[i]->Init(trainer_desc.data_desc());
     workers_[i]->SetDataFeed(readers_[i]);
   }
-  std::vector<std::string> filelist_vec;
-  for (unsigned i = 0; i < trainer_desc.filelist_size(); ++i) {
-    filelist_vec.push_back(trainer_desc.filelist(i));
-  }
-  readers_[0]->SetFileList(filelist_vec);
 }
 
 // call only after all resources are set in current trainer