70e4d7fe60a9658bb27b9f5fb67592a1222b2ec3,spotlight/sequence/representations.py,LSTMNet,forward,#LSTMNet#Any#Any#,82

Before Change

    def forward(self, user_representations, targets):

        target_embedding = self.item_embeddings(targets)
        target_bias = self.item_biases(targets)

        dot = (user_representations * target_embedding).sum(1)

        return target_bias + dot

After Change

        target_embedding = (self.item_embeddings(targets)
                            .permute(0, 2, 1))
        target_bias = self.item_biases(targets).squeeze(1)

        dot = ((user_representations * target_embedding)
               .sum(1)
               .squeeze(1))

Instances