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[BUGFIX] examples/glvq_iris.py works again

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This commit is contained in:
Jensun Ravichandran 2021-06-14 20:13:25 +02:00
parent 97ec15b76a
commit 68034d56f6
2 changed files with 3 additions and 3 deletions
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4
examples/glvq_iris.py
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@ -23,7 +23,7 @@ if __name__ == "__main__":
hparams = dict( hparams = dict(
distribution={ distribution={
"num_classes": 3, "num_classes": 3,
"prototypes_per_class": 4 "per_class": 4
}, },
lr=0.01, lr=0.01,
) )
@ -32,7 +32,7 @@ if __name__ == "__main__":
model = pt.models.GLVQ( model = pt.models.GLVQ(
hparams, hparams,
optimizer=torch.optim.Adam, optimizer=torch.optim.Adam,
prototype_initializer=pt.components.SMI(train_ds), prototypes_initializer=pt.initializers.SMCI(train_ds),
lr_scheduler=ExponentialLR, lr_scheduler=ExponentialLR,
lr_scheduler_kwargs=dict(gamma=0.99, verbose=False), lr_scheduler_kwargs=dict(gamma=0.99, verbose=False),
) )

2
prototorch/models/glvq.py
View File

@ -56,7 +56,7 @@ class GLVQ(SupervisedPrototypeModel):
def shared_step(self, batch, batch_idx, optimizer_idx=None): def shared_step(self, batch, batch_idx, optimizer_idx=None):
x, y = batch x, y = batch
out = self.compute_distances(x) out = self.compute_distances(x)
plabels = self.proto_layer.component_labels plabels = self.proto_layer.labels
mu = self.loss(out, y, prototype_labels=plabels) mu = self.loss(out, y, prototype_labels=plabels)
batch_loss = self.transfer_layer(mu, beta=self.hparams.transfer_beta) batch_loss = self.transfer_layer(mu, beta=self.hparams.transfer_beta)
loss = batch_loss.sum(dim=0) loss = batch_loss.sum(dim=0)