modify network RCAN scripts

research/cv/RCAN/src/rcan_model.py

@@ -86,10 +86,11 @@ class Upsampler(nn.Cell):
         """rcan"""
         super(Upsampler, self).__init__()
         m = []
-        if (scale & (scale - 1)) == 0:
-            for _ in range(int(math.log(scale, 2))):
+        for s in scale:
+            if (s & (s - 1)) == 0:
+                for _ in range(int(math.log(s, 2))):
                     m.append(SmallUpSampler(conv, 2, n_feats, has_bias=has_bias))
-        elif scale == 3:
+            elif s == 3:
                 m.append(SmallUpSampler(conv, 3, n_feats, has_bias=has_bias))
         self.net = nn.SequentialCell(m)