Fix bug

paddle/fluid/framework/data_feed.cc

@@ -98,7 +98,6 @@ void DataFeed::CheckStart() {
 
 template<typename T>
 void PrivateQueueDataFeed<T>::SetQueueSize(int queue_size) {
-  CheckInit();
   if (queue_size <= 0) {
     LOG(ERROR) << "error: illegal queue size: " << queue_size;
     return;
@@ -165,6 +164,7 @@ void MultiSlotDataFeed::Init(paddle::framework::DataFeedDesc& data_feed_desc) {
   }
   paddle::framework::MultiSlotDesc multi_slot_desc = data_feed_desc.multi_slot_desc();
   SetBatchSize(data_feed_desc.batch());
+  SetQueueSize(data_feed_desc.batch()); 
   size_t all_slot_num = multi_slot_desc.slots_size();
   all_slots_.resize(all_slot_num);
   all_slots_type_.resize(all_slot_num);

paddle/fluid/framework/executor_thread_worker.cc

@@ -176,6 +176,7 @@ void ExecutorThreadWorker::TrainFiles() {
   thread_reader_->Start();
 
   int cur_batch;
+  int batch_cnt = 0;
   while ((cur_batch = thread_reader_->Next()) > 0) {
     // executor run here
     for (auto& op : ops_) {
@@ -190,8 +191,14 @@ void ExecutorThreadWorker::TrainFiles() {
       fetch_values_[i] += avg_inspect;
     }
 
+    ++batch_cnt;
     thread_scope_->DropKids();
   }
+
+  for (int i = 0; i < fetch_var_num; ++i) {
+    fetch_values_[i] = fetch_values_[i] / batch_cnt;
+  }
+
 }
 
 void ExecutorThreadWorker::SetThreadId(int tid) {

python/paddle/fluid/async_executor.py

@@ -19,7 +19,7 @@ import contextlib
 import six
 from .framework import Program, default_main_program, Variable
 from . import core
-from .executor import global_scope
+from .executor import global_scope, Executor
 from paddle.fluid.proto import data_feed_pb2
 from google.protobuf import text_format
 
@@ -67,6 +67,19 @@ class AsyncExecutor(object):
         scope = global_scope()
         self.executor = core.AsyncExecutor(scope, p)
 
+    def run_startup_program(self, program=None, place=None):
+        if program is None:
+            program = fluid.default_startup_program()
+
+        if place is None:
+            place = core.CPUPlace()
+
+        if not isinstance(place, core.CPUPlace):
+            raise ValueError("AsyncExecutor only supports CPU device")
+
+        executor = Executor(place)
+        executor.run(program)
+
     def run(self, program, data_feed, filelist, thread_num, fetch):
         """
         Run program by this Executor. Feed data by feed map, fetch result by fetch_list.