Fix two regressions

Author: rwightman

timm/models/layers/se.py

@@ -5,7 +5,7 @@
 class SEModule(nn.Module):
 
     def __init__(self, channels, reduction=16, act_layer=nn.ReLU, min_channels=8, reduction_channels=None,
-                 gate_fn='hard_sigmoid'):
+                 gate_fn='sigmoid'):
         super(SEModule, self).__init__()
         self.avg_pool = nn.AdaptiveAvgPool2d(1)
         reduction_channels = reduction_channels or max(channels // reduction, min_channels)

timm/models/res2net.py

@@ -99,9 +99,9 @@ def forward(self, x):
 
         spx = torch.split(out, self.width, 1)
         spo = []
-        sp = spx[0]
+        sp = spx[0]  # redundant, for torchscript
         for i, (conv, bn) in enumerate(zip(self.convs, self.bns)):
-            if self.is_first:
+            if i == 0 or self.is_first:
                 sp = spx[i]
             else:
                 sp = sp + spx[i]