[BUGFIX] examples/glvq_iris.py
works again
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@ -23,7 +23,7 @@ if __name__ == "__main__":
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hparams = dict(
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distribution={
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"num_classes": 3,
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"prototypes_per_class": 4
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"per_class": 4
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},
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lr=0.01,
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)
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@ -32,7 +32,7 @@ if __name__ == "__main__":
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model = pt.models.GLVQ(
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hparams,
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optimizer=torch.optim.Adam,
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prototype_initializer=pt.components.SMI(train_ds),
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prototypes_initializer=pt.initializers.SMCI(train_ds),
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lr_scheduler=ExponentialLR,
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lr_scheduler_kwargs=dict(gamma=0.99, verbose=False),
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)
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@ -56,7 +56,7 @@ class GLVQ(SupervisedPrototypeModel):
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def shared_step(self, batch, batch_idx, optimizer_idx=None):
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x, y = batch
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out = self.compute_distances(x)
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plabels = self.proto_layer.component_labels
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plabels = self.proto_layer.labels
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mu = self.loss(out, y, prototype_labels=plabels)
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batch_loss = self.transfer_layer(mu, beta=self.hparams.transfer_beta)
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loss = batch_loss.sum(dim=0)
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