Update + to paddle.add and * to paddle.multiply (#502)

* Updata "*" to "paddle.multiply"

* Update "+" to "paddle.add"

ppcls/modeling/architectures/ghostnet.py

@@ -89,7 +89,7 @@ class SEBlock(nn.Layer):
         excitation = self.excitation(squeeze)
         excitation = paddle.clip(x=excitation, min=0, max=1)
         excitation = paddle.unsqueeze(excitation, axis=[2, 3])
-        out = inputs * excitation
+        out = paddle.multiply(inputs, excitation)
         return out
 
 

ppcls/modeling/architectures/hrnet.py

@@ -653,7 +653,7 @@ class HRNet(nn.Layer):
 
         y = last_cls[0]
         for idx in range(3):
-            y = last_cls[idx + 1] + self.cls_head_conv_list[idx](y)
+            y = paddle.add(last_cls[idx + 1], self.cls_head_conv_list[idx](y))
 
         y = self.conv_last(y)
         y = self.pool2d_avg(y)

ppcls/modeling/architectures/res2net.py

@@ -131,7 +131,7 @@ class BottleneckBlock(nn.Layer):
             if s == 0 or self.stride == 2:
                 ys.append(conv1(xs[s]))
             else:
-                ys.append(conv1(xs[s] + ys[-1]))
+                ys.append(conv1(paddle.add(xs[s], ys[-1])))
         if self.stride == 1:
             ys.append(xs[-1])
         else:

ppcls/modeling/architectures/se_resnext_vd.py

@@ -170,7 +170,7 @@ class SELayer(nn.Layer):
         excitation = self.excitation(squeeze)
         excitation = self.sigmoid(excitation)
         excitation = paddle.unsqueeze(excitation, axis=[2, 3])
-        out = input * excitation
+        out = paddle.multiply(input, excitation)
         return out