Funnel ReLU (FReLU) (#556)

utils/activations.py

 import torch
 import torch.nn as nn
 import torch.nn.functional as F
-import torch.nn as nn
 
 
 # Swish ------------------------------------------------------------------------
@@ -61,16 +60,15 @@ class Mish(nn.Module):  # https://github.com/digantamisra98/Mish
     @staticmethod
     def forward(x):
         return x * F.softplus(x).tanh()
-        
-        
+
+
 # FReLU https://arxiv.org/abs/2007.11824 --------------------------------------
 class FReLU(nn.Module):
     def __init__(self, c1, k=3):  # ch_in, kernel
-        super().__init()__()
+        super(FReLU, self).__init__()
         self.conv = nn.Conv2d(c1, c1, k, 1, 1, groups=c1)
         self.bn = nn.BatchNorm2d(c1)
-        
+
     @staticmethod
     def forward(self, x):
         return torch.max(x, self.bn(self.conv(x)))
-