diff --git a/mindspore/ops/_op_impl/_custom_op/batchnorm_fold.py b/mindspore/ops/_op_impl/_custom_op/batchnorm_fold.py
index dcf86745a8b..777eca629e6 100644
--- a/mindspore/ops/_op_impl/_custom_op/batchnorm_fold.py
+++ b/mindspore/ops/_op_impl/_custom_op/batchnorm_fold.py
@@ -28,11 +28,11 @@ batch_norm_op_info = TBERegOp("BatchNormFoldD") \
     .compute_cost(10) \
     .kernel_name("batchnorm_fold") \
     .partial_flag(True) \
-    .attr("momentum", "optional", "float", "all") \
-    .attr("epsilon", "optional", "float", "all") \
-    .attr("is_training", "optional", "bool", "all") \
-    .attr("freeze_bn", "optional", "int", "all") \
-    .attr("format", "optional", "str", "all") \
+    .attr("momentum", "optional", "float", "all", "0.9") \
+    .attr("epsilon", "optional", "float", "all", "0.00001") \
+    .attr("is_training", "optional", "bool", "all", "true") \
+    .attr("freeze_bn", "optional", "int", "all", "0") \
+    .attr("format", "optional", "str", "all", "NCHW") \
     .input(0, "x", False, "required", "all") \
     .input(1, "x_sum", False, "required", "all") \
     .input(2, "x_square_sum", False, "required", "all") \
diff --git a/model_zoo/official/cv/yolov3_darknet53_quant/eval.py b/model_zoo/official/cv/yolov3_darknet53_quant/eval.py
index 27dd899e84a..0eccd2f439f 100644
--- a/model_zoo/official/cv/yolov3_darknet53_quant/eval.py
+++ b/model_zoo/official/cv/yolov3_darknet53_quant/eval.py
@@ -37,7 +37,7 @@ from src.yolo_dataset import create_yolo_dataset
 from src.config import ConfigYOLOV3DarkNet53
 
 devid = int(os.getenv('DEVICE_ID'))
-context.set_context(mode=context.GRAPH_MODE, device_target="Ascend", save_graphs=True, device_id=devid)
+context.set_context(mode=context.GRAPH_MODE, device_target="Ascend", save_graphs=False, device_id=devid)
 
 
 class Redirct:
diff --git a/model_zoo/official/cv/yolov3_darknet53_quant/train.py b/model_zoo/official/cv/yolov3_darknet53_quant/train.py
index e18acb60a24..acacba20e15 100644
--- a/model_zoo/official/cv/yolov3_darknet53_quant/train.py
+++ b/model_zoo/official/cv/yolov3_darknet53_quant/train.py
@@ -44,7 +44,7 @@ set_seed(1)
 
 devid = int(os.getenv('DEVICE_ID'))
 context.set_context(mode=context.GRAPH_MODE, enable_auto_mixed_precision=True,
-                    device_target="Ascend", save_graphs=True, device_id=devid)
+                    device_target="Ascend", save_graphs=False, device_id=devid)
 
 
 def parse_args():