Update metaformers.py
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53b8ce5b8a
commit
a2329ab8ec
timm/models
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@ -584,7 +584,7 @@ class MetaFormer(nn.Module):
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# NOTE nn.Sequential in head broken down since can't call head[:-1](x) in torchscript :(
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x = self.head.global_pool(x.permute(0, 3, 1, 2))
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x = self.head.flatten(x)
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x = self.head.norm(x.permute(0, 2, 3, 1))
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x = self.head.norm(x)
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return x if pre_logits else self.head.fc(x)
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def forward_features(self, x):
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