diff --git a/paddle/fluid/pybind/op_function_generator.h b/paddle/fluid/pybind/op_function_generator.h
index a4e56d1508038cda5f00af7637a505988fddb4a8..2bfc16c7d5b0fd60768b798f8b1fcd06d71711b2 100644
--- a/paddle/fluid/pybind/op_function_generator.h
+++ b/paddle/fluid/pybind/op_function_generator.h
@@ -96,6 +96,7 @@ std::map<std::string, std::set<std::string>> op_ins_map = {
     {"nce",
      {"Input", "Label", "Weight", "Bias", "SampleWeight", "CustomDistProbs",
       "CustomDistAlias", "CustomDistAliasProbs"}},
+    {"yolov3_loss", {"X", "GTBox", "GTLabel", "GTScore"}},
     {"check_finite_and_unscale", {"X", "Scale", "FloatStatus"}},
     {"group_norm", {"X", "Scale", "Bias"}},
     {"linear_chain_crf", {"Emission", "Transition", "Label", "Length"}},
diff --git a/python/paddle/fluid/layers/detection.py b/python/paddle/fluid/layers/detection.py
index cbd9712720c1ad4e10407ba381e3c2fb8267643a..75b2b26fb9dfccfa7fd94f096de9c47302c71ed9 100644
--- a/python/paddle/fluid/layers/detection.py
+++ b/python/paddle/fluid/layers/detection.py
@@ -1072,7 +1072,6 @@ def yolov3_loss(x,
                                           anchor_mask=anchor_mask, class_num=80,
                                           ignore_thresh=0.7, downsample_ratio=32)
     """
-    helper = LayerHelper('yolov3_loss', **locals())
 
     if not isinstance(x, Variable):
         raise TypeError("Input x of yolov3_loss must be Variable")
@@ -1095,8 +1094,16 @@ def yolov3_loss(x,
         raise TypeError(
             "Attr use_label_smooth of yolov3_loss must be a bool value")
 
-    loss = helper.create_variable_for_type_inference(dtype=x.dtype)
+    if _non_static_mode():
+        attrs = ("anchors", anchors, "anchor_mask", anchor_mask, "class_num",
+                 class_num, "ignore_thresh", ignore_thresh, "downsample_ratio",
+                 downsample_ratio, "use_label_smooth", use_label_smooth,
+                 "scale_x_y", scale_x_y)
+        loss, _, _ = _C_ops.yolov3_loss(x, gt_box, gt_label, gt_score, *attrs)
+        return loss
 
+    helper = LayerHelper('yolov3_loss', **locals())
+    loss = helper.create_variable_for_type_inference(dtype=x.dtype)
     objectness_mask = helper.create_variable_for_type_inference(dtype='int32')
     gt_match_mask = helper.create_variable_for_type_inference(dtype='int32')
 
diff --git a/python/paddle/vision/ops.py b/python/paddle/vision/ops.py
index 7836545c738cae1eca35f2dc2face9ae1bc27399..00bd6ed38a3adf3a8bbcb2f6d13476962bb03b9d 100644
--- a/python/paddle/vision/ops.py
+++ b/python/paddle/vision/ops.py
@@ -194,10 +194,10 @@ def yolo_loss(x,
                                              scale_x_y=1.)
     """
 
-    if _non_static_mode() and gt_score is None:
+    if _non_static_mode():
         loss, _, _ = _C_ops.yolov3_loss(
-            x, gt_box, gt_label, 'anchors', anchors, 'anchor_mask', anchor_mask,
-            'class_num', class_num, 'ignore_thresh', ignore_thresh,
+            x, gt_box, gt_label, gt_score, 'anchors', anchors, 'anchor_mask',
+            anchor_mask, 'class_num', class_num, 'ignore_thresh', ignore_thresh,
             'downsample_ratio', downsample_ratio, 'use_label_smooth',
             use_label_smooth, 'scale_x_y', scale_x_y)
         return loss