a7a5cdc598afd6afa3d0e9d355360bebc4947c29,snli/model.py,SNLIClassifier,forward,#SNLIClassifier#Any#,59

Before Change

            Linear(seq_in_size, config.d_out))

    def forward(self, batch):
        premise = self.encoder(self.embed(batch.premise))
        hypothesis = self.encoder(self.embed(batch.hypothesis))
        answer = self.out(torch.cat([premise, hypothesis], 1))
        return answer

After Change

        prem_embed = self.embed(batch.premise)
        hypo_embed = self.embed(batch.hypothesis)
        if self.config.fix_emb:
            prem_embed = Variable(prem_embed.data)
            hypo_embed = Variable(hypo_embed.data)
        if self.config.projection:
            prem_embed = self.relu(self.projection(prem_embed))
            hypo_embed = self.relu(self.projection(hypo_embed))
        premise = self.encoder(prem_embed)
        hypothesis = self.encoder(hypo_embed)
        scores = self.out(torch.cat([premise, hypothesis], 1))
        return scores

Instances