diff --git a/ppdet/modeling/anchor_heads/yolo_head.py b/ppdet/modeling/anchor_heads/yolo_head.py
index 2b1b3da78876fc56c6394f48502fcbf2fe692d5e..54fbb0b7e5b6a84922ab44df2fe9bad4ad422f64 100644
--- a/ppdet/modeling/anchor_heads/yolo_head.py
+++ b/ppdet/modeling/anchor_heads/yolo_head.py
@@ -183,13 +183,13 @@ class YOLOv3Head(object):
         return route, tip
 
     def _upsample(self, input, scale=2, upsample='nearest', name=None):
-        upsample = upsample.copy()
         if upsample == 'nearest':
             out = fluid.layers.resize_nearest(
                 input=input, scale=float(scale), name=name)
         else:
             assert isinstance(
                 upsample, dict), "Unknown upsample method: {}".format(upsample)
+            upsample = upsample.copy()
             assert upsample['type'] in [
                 'carafe'
             ], 'Unknown upsample type {}'.format(upsample['type'])
diff --git a/ppdet/modeling/ops.py b/ppdet/modeling/ops.py
index 43ce45dc9639d1b428a6510dbb35b9939234a17f..a2cd8aca0a2168b47f2bd05a7fcd8f71c78dbffc 100644
--- a/ppdet/modeling/ops.py
+++ b/ppdet/modeling/ops.py
@@ -75,7 +75,6 @@ def _conv_bn(input, ch_out, filter_size, stride, padding, act=None, name=None):
         filter_size=filter_size,
         stride=stride,
         padding=padding,
-        act=None,
         param_attr=ParamAttr(name=name + ".conv.weights"),
         bias_attr=False)
 
@@ -1588,6 +1587,8 @@ class CARAFEUpsample(object):
         w = input_shape[3]
         out = fluid.layers.reshape(
             out, [b, int(input.shape[1]), -1, h * self.scale, w * self.scale])
+
+        weight = fluid.layers.expand_as(weight, out)
         out = fluid.layers.reduce_sum(weight * out, dim=2)
 
         return out