Missed bias=False in selection conv

5 years ago · ad087b4b17
parent c8b3d6b81a
commit ad087b4b17
1 changed files with 1 additions and 1 deletions
--- a/timm/models/resnet.py
+++ b/timm/models/resnet.py
@ -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