fde2f66676f960782c993f7148927c4a4197ab10,spotlight/factorization/explicit.py,ExplicitFactorizationModel,fit,#ExplicitFactorizationModel#,85

Before Change

        for epoch_num in range(self._n_iter):

            users, items, ratings = shuffle(*(interactions.row,
                                              interactions.col,
                                              interactions.data))

After Change

                                  self._use_cuda)
            item_ids_tensor = gpu(torch.from_numpy(items),
                                  self._use_cuda)
            ratings_tensor = gpu(torch.from_numpy(ratings),
                                 self._use_cuda)

            epoch_loss = 0.0

            for (batch_user,

Instances