fix: labels where on cpu in forward pass
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@@ -136,14 +136,14 @@ class SupervisedPrototypeModel(PrototypeModel):
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def forward(self, x):
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distances = self.compute_distances(x)
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plabels = self.proto_layer.labels
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_, plabels = self.proto_layer()
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winning = stratified_min_pooling(distances, plabels)
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y_pred = torch.nn.functional.softmin(winning)
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return y_pred
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def predict_from_distances(self, distances):
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with torch.no_grad():
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plabels = self.proto_layer.labels
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_, plabels = self.proto_layer()
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y_pred = self.competition_layer(distances, plabels)
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return y_pred
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