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Funnel ReLU (FReLU) (#556) 

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
Glenn Jocher 2020-07-30 17:35:34 -07:00
parent 4b074d9d9d
commit 131782a2aa
1 changed files with 4 additions and 6 deletions
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10
utils/activations.py
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@ -1,7 +1,6 @@
import torch import torch
import torch.nn as nn import torch.nn as nn
import torch.nn.functional as F import torch.nn.functional as F
import torch.nn as nn
# Swish ------------------------------------------------------------------------ # Swish ------------------------------------------------------------------------
@ -61,16 +60,15 @@ class Mish(nn.Module): # https://github.com/digantamisra98/Mish
@staticmethod @staticmethod
def forward(x): def forward(x):
return x * F.softplus(x).tanh() return x * F.softplus(x).tanh()
# FReLU https://arxiv.org/abs/2007.11824 -------------------------------------- # FReLU https://arxiv.org/abs/2007.11824 --------------------------------------
class FReLU(nn.Module): class FReLU(nn.Module):
def __init__(self, c1, k=3): # ch_in, kernel 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.conv = nn.Conv2d(c1, c1, k, 1, 1, groups=c1)
self.bn = nn.BatchNorm2d(c1) self.bn = nn.BatchNorm2d(c1)
@staticmethod @staticmethod
def forward(self, x): def forward(self, x):
return torch.max(x, self.bn(self.conv(x))) return torch.max(x, self.bn(self.conv(x)))