626da74d11a696d87c54cf935b847335c442b18f,spotlight/sequence/representations.py,CNNNet,forward,#CNNNet#,397

Before Change

            Of shape (minibatch_size, sequence_length).
        

        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)

After Change

            Of shape (minibatch_size, sequence_length).
        

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

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

Instances