use scale to resize.

PaddleCV/yolov3/models/yolov3.py

@@ -46,19 +46,9 @@ def yolo_detection_block(input, channel, is_test=True, name=None):
     return route, tip
 
 def upsample(input, scale=2,name=None):
-    # get dynamic upsample output shape
-    shape_nchw = fluid.layers.shape(input)
-    shape_hw = fluid.layers.slice(shape_nchw, axes=[0], starts=[2], ends=[4])
-    shape_hw.stop_gradient = True
-    in_shape = fluid.layers.cast(shape_hw, dtype='int32')
-    out_shape = in_shape * scale
-    out_shape.stop_gradient = True
-
-    # reisze by actual_shape
     out = fluid.layers.resize_nearest(
         input=input,
-        scale=scale,
-        actual_shape=out_shape,
+        scale=float(scale),
         name=name)
     return out