diff --git a/configs/yolov3_reader.yml b/configs/yolov3_reader.yml
index 5e11364b0ad831e68513f60ea68ca511e1018a8b..d167c70bc1f97db6dc997c9d535aeca92d4e3473 100644
--- a/configs/yolov3_reader.yml
+++ b/configs/yolov3_reader.yml
@@ -52,7 +52,7 @@ TrainReader:
   drop_last: true
   worker_num: 4
   bufsize: 4
-  use_process: true
+  use_process: false #true
 
 
 EvalReader:
diff --git a/ppdet/modeling/head/yolo_head.py b/ppdet/modeling/head/yolo_head.py
index 42beb69e0cdf168df9a2c34f9df5cf23c3d27b21..69b21a69063fdc771192c7552f9098a73b49ab71 100644
--- a/ppdet/modeling/head/yolo_head.py
+++ b/ppdet/modeling/head/yolo_head.py
@@ -92,7 +92,7 @@ class YOLOFeat(nn.Layer):
 
             if i < self.num_levels - 1:
                 route = self.route_blocks[i](route)
-                route = F.resize_nearest(route, scale=2.)
+                route = F.interpolate(route, scale_factor=2.)
 
         return yolo_feats
 
diff --git a/tools/train.py b/tools/train.py
index 1887f8e69cd44c7645801b6f8edfd451fae73d9b..5eba5f30c58d9027941f450ce83e1c3507571c62 100755
--- a/tools/train.py
+++ b/tools/train.py
@@ -23,7 +23,7 @@ from ppdet.utils.stats import TrainingStats
 from ppdet.utils.check import check_gpu, check_version, check_config
 from ppdet.utils.cli import ArgsParser
 from ppdet.utils.checkpoint import load_dygraph_ckpt, save_dygraph_ckpt
-from paddle.distributed import ParallelEnv
+import paddle.distributed as dist
 import logging
 FORMAT = '%(asctime)s-%(levelname)s: %(message)s'
 logging.basicConfig(level=logging.INFO, format=FORMAT)
@@ -87,8 +87,16 @@ def parse_args():
     return args
 
 
-def run(FLAGS, cfg):
+def run():
+    FLAGS = parse_args()
+
+    cfg = load_config(FLAGS.config)
+    merge_config(FLAGS.opt)
+    check_config(cfg)
+    check_gpu(cfg.use_gpu)
+    check_version()
     env = os.environ
+
     FLAGS.dist = 'PADDLE_TRAINER_ID' in env and 'PADDLE_TRAINERS_NUM' in env
     if FLAGS.dist:
         trainer_id = int(env['PADDLE_TRAINER_ID'])
@@ -117,7 +125,7 @@ def run(FLAGS, cfg):
         load_static_weights=cfg.get('load_static_weights', False))
 
     # Parallel Model 
-    if ParallelEnv().nranks > 1:
+    if dist.ParallelEnv().nranks > 1:
         strategy = paddle.distributed.init_parallel_env()
         model = paddle.DataParallel(model, strategy)
 
@@ -151,7 +159,7 @@ def run(FLAGS, cfg):
 
         # Model Backward
         loss = outputs['loss']
-        if ParallelEnv().nranks > 1:
+        if dist.ParallelEnv().nranks > 1:
             loss = model.scale_loss(loss)
             loss.backward()
             model.apply_collective_grads()
@@ -163,7 +171,7 @@ def run(FLAGS, cfg):
         lr.step()
         optimizer.clear_grad()
 
-        if ParallelEnv().nranks < 2 or ParallelEnv().local_rank == 0:
+        if dist.ParallelEnv().nranks < 2 or dist.ParallelEnv().local_rank == 0:
             # Log state 
             if iter_id == 0:
                 train_stats = TrainingStats(cfg.log_iter, outputs.keys())
@@ -185,19 +193,7 @@ def run(FLAGS, cfg):
 
 
 def main():
-    FLAGS = parse_args()
-
-    cfg = load_config(FLAGS.config)
-    merge_config(FLAGS.opt)
-    check_config(cfg)
-    check_gpu(cfg.use_gpu)
-    check_version()
-
-    place = paddle.CUDAPlace(ParallelEnv().dev_id) \
-                    if cfg.use_gpu else paddle.CPUPlace()
-    paddle.disable_static(place)
-
-    run(FLAGS, cfg)
+    dist.spawn(run)
 
 
 if __name__ == "__main__":