values=tensor([], size=(0,)),
             size=(1,), nnz=0, layout=torch.sparse_coo)
  # and to create an empty sparse tensor with nnz = 0, dense_dim = 1 and
  # sparse_dim = 1
  >>> S = torch.sparse_coo_tensor(torch.empty([1, 0]), torch.empty([0, 2]), [1, 2])
  tensor(indices=tensor([], size=(1, 0)),
         values=tensor([], size=(0, 2)),
         size=(1, 2), nnz=0, layout=torch.sparse_coo)
