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Missed bias=False in selection conv

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Ross Wightman 2020-01-24 19:54:37 -08:00
parent c8b3d6b81a
commit ad087b4b17
1 changed files with 1 additions and 1 deletions
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timm/models/resnet.py
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@ -243,7 +243,7 @@ class SelectiveKernelAttn(nn.Module):
self.fc_reduce = nn.Conv2d(channels, num_attn_feat, kernel_size=1, bias=False)
self.bn = norm_layer(num_attn_feat)
self.act = act_layer(inplace=True)
self.fc_select = nn.Conv2d(num_attn_feat, channels * num_paths, kernel_size=1)
self.fc_select = nn.Conv2d(num_attn_feat, channels * num_paths, kernel_size=1, bias=False)
def forward(self, x):
assert x.shape[1] == self.num_paths