fix doc.test=develop

paddle/fluid/operators/detection/yolov3_loss_op.cc

@@ -227,8 +227,8 @@ class Yolov3LossOpMaker : public framework::OpProtoAndCheckerMaker {
 
          While :attr:`use_label_smooth` is set to be :attr:`True`, the classification
          target will be smoothed when calculating classification loss, target of 
-         positive samples will be smoothed to $$1.0 - 1.0/class_num$$ and target of
-         negetive samples will be smoothed to $$1.0/class_num$$.
+         positive samples will be smoothed to :math:`1.0 - 1.0 / class\_num` and target of
+         negetive samples will be smoothed to :math:`1.0 / class\_num`.
 
          While :attr:`GTScore` is given, which means the mixup score of ground truth 
          boxes, all looses incured by a ground truth box will be multiplied by its 

python/paddle/fluid/layers/detection.py

@@ -545,9 +545,9 @@ def yolov3_loss(x,
 
     Raises:
         TypeError: Input x of yolov3_loss must be Variable
-        TypeError: Input gtbox of yolov3_loss must be Variable"
-        TypeError: Input gtlabel of yolov3_loss must be Variable"
-        TypeError: Input gtscore of yolov3_loss must be Variable"
+        TypeError: Input gtbox of yolov3_loss must be Variable
+        TypeError: Input gtlabel of yolov3_loss must be Variable
+        TypeError: Input gtscore of yolov3_loss must be Variable
         TypeError: Attr anchors of yolov3_loss must be list or tuple
         TypeError: Attr class_num of yolov3_loss must be an integer
         TypeError: Attr ignore_thresh of yolov3_loss must be a float number
@@ -559,7 +559,7 @@ def yolov3_loss(x,
           x = fluid.layers.data(name='x', shape=[255, 13, 13], dtype='float32')
           gtbox = fluid.layers.data(name='gtbox', shape=[6, 4], dtype='float32')
           gtlabel = fluid.layers.data(name='gtlabel', shape=[6], dtype='int32')
-          gtscore = fluid.layers.data(name='gtlabel', shape=[6], dtype='int32')
+          gtscore = fluid.layers.data(name='gtscore', shape=[6], dtype='int32')
           anchors = [10, 13, 16, 30, 33, 23, 30, 61, 62, 45, 59, 119, 116, 90, 156, 198, 373, 326]
           anchor_mask = [0, 1, 2]
           loss = fluid.layers.yolov3_loss(x=x, gtbox=gtbox, gtlabel=gtlabel,