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Fix in_features for linear layer in reset_classifier.
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@ -276,7 +276,7 @@ class GhostNet(nn.Module):
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# cannot meaningfully change pooling of efficient head after creation
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self.global_pool = SelectAdaptivePool2d(pool_type=global_pool)
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self.flatten = nn.Flatten(1) if global_pool else nn.Identity() # don't flatten if pooling disabled
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self.classifier = Linear(self.pool_dim, num_classes) if num_classes > 0 else nn.Identity()
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self.classifier = Linear(self.num_features, num_classes) if num_classes > 0 else nn.Identity()
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def forward_features(self, x):
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x = self.conv_stem(x)
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