def METHOD_NAME(self):
    """
    @brief Neighber info from cell to edge.
    @return: A tensor with shape (NC, NEC), containing indexes of edges in\
             every cells.
    """
    NC = self.number_of_cells()
    NE = self.number_of_edges()
    NEC = self.number_of_edges_of_cells()
    edge2cell = self.edge2cell
    cell2edge = torch.zeros((NC, NEC), dtype=self.itype, device=self.device)
    cell2edge[edge2cell[:, 0], edge2cell[:, 2]] = torch.arange(NE)
    cell2edge[edge2cell[:, 1], edge2cell[:, 3]] = torch.arange(NE)
    return cell2edge