diff --git a/dygraph/yolov3/reader.py b/dygraph/yolov3/reader.py
index c74a938e1b7f8a40737e60b1547cec222719ee15..1c0d76a3454edc7b16281e4209c46b3df2c894e3 100644
--- a/dygraph/yolov3/reader.py
+++ b/dygraph/yolov3/reader.py
@@ -296,8 +296,7 @@ def train(size=416,
           total_iter=0,
           mixup_iter=0,
           random_sizes=[],
-          num_workers=8,
-          max_queue=32,
+          num_workers=1,
           use_multiprocess_reader=True,
           use_gpu=True):
     generator = dsr.get_reader('train', size, batch_size, shuffle, shuffle_seed,
diff --git a/dygraph/yolov3/train.py b/dygraph/yolov3/train.py
index 7c742fd30006c4d7a99d44611d4f18b4f89949bf..b09455a5babc1339ebae7654122ccbe027cd7abb 100755
--- a/dygraph/yolov3/train.py
+++ b/dygraph/yolov3/train.py
@@ -142,7 +142,6 @@ def train():
             mixup_iter=mixup_iter * devices_num,
             random_sizes=random_sizes,
             use_multiprocess_reader=cfg.use_multiprocess_reader,
-            num_workers=cfg.worker_num,
             use_gpu=cfg.use_gpu)
         if args.use_data_parallel:
             train_reader = fluid.contrib.reader.distributed_batch_reader(train_reader)
diff --git a/dygraph/yolov3/utility.py b/dygraph/yolov3/utility.py
index 3b0b4a59efc99e020148c9049d58e447f271ed49..fa9b0a945f0747b0f9243ca7422a45413702b92a 100644
--- a/dygraph/yolov3/utility.py
+++ b/dygraph/yolov3/utility.py
@@ -123,7 +123,6 @@ def parse_args():
     add_arg('data_dir',         str,    'dataset/coco',        "The data root path.")
     add_arg('start_iter',       int,    0,      "Start iteration.")
     add_arg('use_multiprocess_reader', bool,   True,   "whether use multiprocess reader.")
-    add_arg('worker_num',       int,   8,   "worker number for multiprocess reader.")
     add_arg('use_data_parallel', ast.literal_eval, False, "the flag indicating whether to use data parallel model to train the model")
     #SOLVER
     add_arg('batch_size',       int,    8,      "Mini-batch size per device.")