fix(warning): specify dimension explicitly when calling softmin
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@@ -135,7 +135,7 @@ class SupervisedPrototypeModel(PrototypeModel):
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distances = self.compute_distances(x)
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distances = self.compute_distances(x)
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_, plabels = self.proto_layer()
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_, plabels = self.proto_layer()
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winning = stratified_min_pooling(distances, plabels)
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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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y_pred = torch.nn.functional.softmin(winning, dim=1)
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return y_pred
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return y_pred
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def predict_from_distances(self, distances):
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def predict_from_distances(self, distances):
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