code: def spadd(indexA, valueA, indexB, valueB, m, n):
      """Matrix addition of two sparse matrices.
  
      Args:
          indexA (:class:`LongTensor`): The index tensor of first sparse matrix.
          valueA (:class:`Tensor`): The value tensor of first sparse matrix.
          indexB (:class:`LongTensor`): The index tensor of second sparse matrix.
          valueB (:class:`Tensor`): The value tensor of second sparse matrix.
          m (int): The first dimension of the sparse matrices.
          n (int): The second dimension of the sparse matrices.
      """
      index = torch.cat([indexA, indexB], dim=-1)
      value = torch.cat([valueA, valueB], dim=0)
      return coalesce(index=index, value=value, m=m, n=n, op="add")
  
label_desc: Use image node_id 1 for calling a global function with example usage: spadd(indexA, valueA, indexB, valueB, m, n) and returns: coalesce