


values = [1, 2, 3, 4]
      >>> torch.sparse_csr_tensor(torch.tensor(crow_indices, dtype=torch.int64),
      ...                         torch.tensor(col_indices, dtype=torch.int64),
      ...                         torch.tensor(values), dtype=torch.double)
      tensor(crow_indices=tensor([0, 2, 4]),
             col_indices=tensor([0, 1, 0, 1]),
             values=tensor([1., 2., 3., 4.]), size=(2, 2), nnz=4,
             dtype=torch.float64, layout=torch.sparse_csr)


