update

paddle_fl/dataset/femnist.py

@@ -34,7 +34,7 @@ def train(trainer_id,inner_step,batch_size,count_by_step):
 		rand = random.randrange(0,len(users)) # random choose a user from each trainer
 		cur_user = users[rand]
 		print('training using '+cur_user)
-		train_images = json_train["user_data"][cur_user]['x']
+                train_images = json_train["user_data"][cur_user]['x']
                 train_labels = json_train["user_data"][cur_user]['y']
                 if count_by_step:
                         for i in xrange(inner_step*batch_size):

paddle_fl/examples/femnist_demo/fl_trainer.py

@@ -61,7 +61,6 @@ while not trainer.stop():
     test_reader = paddle.batch(
         paddle_fl.dataset.femnist.test(trainer_id,inner_step=trainer._step,batch_size=64,count_by_step=count_by_step), batch_size=64) 
     
-    
     if count_by_step:
     	for step_id, data in enumerate(train_reader()):
             acc = trainer.run(feeder.feed(data), fetch=["accuracy_0.tmp_0"])