Fix MixConv2d() remove shortcut + apply depthwise (#5410)

models/common.py

@@ -113,7 +113,7 @@ class BottleneckCSP(nn.Module):
         self.cv3 = nn.Conv2d(c_, c_, 1, 1, bias=False)
         self.cv4 = Conv(2 * c_, c2, 1, 1)
         self.bn = nn.BatchNorm2d(2 * c_)  # applied to cat(cv2, cv3)
-        self.act = nn.LeakyReLU(0.1, inplace=True)
+        self.act = nn.SiLU()
         self.m = nn.Sequential(*(Bottleneck(c_, c_, shortcut, g, e=1.0) for _ in range(n)))
 
     def forward(self, x):