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Fix glem example #9903

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merged 3 commits into from
Jan 7, 2025
Merged

Fix glem example #9903

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6b1c556
update
xnuohz Dec 29, 2024
6873beb
Merge branch 'master' into fix/glem-example
xnuohz Jan 5, 2025
d21280d
Merge branch 'master' into fix/glem-example
puririshi98 Jan 7, 2025
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2 changes: 2 additions & 0 deletions examples/llm/glem.py
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Original file line number Diff line number Diff line change
Expand Up @@ -371,9 +371,11 @@ def load_model(em_phase):
if gnn_val_acc > lm_val_acc:
em_phase = 'gnn'
model.gnn = model.gnn.to(device, non_blocking=True)
test_loader = subgraph_loader
else:
em_phase = 'lm'
model.lm = model.lm.to(device, non_blocking=True)
test_loader = text_test_loader
test_preds = model.inference(em_phase, test_loader, verbose=verbose)
train_acc, val_acc, test_acc = evaluate(test_preds,
['train', 'valid', 'test'])
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3 changes: 2 additions & 1 deletion torch_geometric/nn/models/glem.py
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Expand Up @@ -144,7 +144,8 @@ def train(self, em_phase: str, train_loader: Union[DataLoader,
acc (float): training accuracy
loss (float): loss value
"""
pseudo_labels = pseudo_labels.to(self.device)
if pseudo_labels is not None:
pseudo_labels = pseudo_labels.to(self.device)
if em_phase == 'gnn':
acc, loss = self.train_gnn(train_loader, optimizer, epoch,
pseudo_labels, is_augmented, verbose)
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