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@ -1,7 +1,6 @@
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import torch
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import torch.nn as nn
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import torch.nn.functional as F
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import torch.nn as nn
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# Swish ------------------------------------------------------------------------
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@ -61,16 +60,15 @@ class Mish(nn.Module): # https://github.com/digantamisra98/Mish
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@staticmethod
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def forward(x):
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return x * F.softplus(x).tanh()
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# FReLU https://arxiv.org/abs/2007.11824 --------------------------------------
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class FReLU(nn.Module):
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def __init__(self, c1, k=3): # ch_in, kernel
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super().__init()__()
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super(FReLU, self).__init__()
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self.conv = nn.Conv2d(c1, c1, k, 1, 1, groups=c1)
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self.bn = nn.BatchNorm2d(c1)
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@staticmethod
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def forward(self, x):
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return torch.max(x, self.bn(self.conv(x)))
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