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test

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thanhvc3 2024-06-18 23:46:20 +07:00
parent bb9856ecd1
commit 39734013c4
1 changed files with 3 additions and 3 deletions
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main.py
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@ -417,8 +417,8 @@ class Main(object):
obj_pred = [] obj_pred = []
obj_pred_score = [] obj_pred_score = []
for step, batch in enumerate(train_iter): for step, batch in enumerate(train_iter):
sub, rel, obj, label = self.read_batch(batch, split) sub, rel, obj, nt_rel, label = self.read_batch(batch, split)
pred = self.model.forward(sub, rel, None, 'one_to_n') pred = self.model.forward(sub, rel, nt_rel, None, 'one_to_n')
b_range = torch.arange(pred.size()[0], device=self.device) b_range = torch.arange(pred.size()[0], device=self.device)
target_pred = pred[b_range, obj] target_pred = pred[b_range, obj]
pred = torch.where(label.byte(), torch.zeros_like(pred), pred) pred = torch.where(label.byte(), torch.zeros_like(pred), pred)
@ -691,7 +691,7 @@ if __name__ == "__main__":
collate_fn=TrainDataset.collate_fn collate_fn=TrainDataset.collate_fn
)) ))
for step, batch in enumerate(dataloader): for step, batch in enumerate(dataloader):
sub, rel, obj, label, neg_ent, sub_samp = model.read_batch( sub, rel, obj, nt_rel, label, neg_ent, sub_samp = model.read_batch(
batch, 'train') batch, 'train')
if (neg_ent is None): if (neg_ent is None):