How to perform indexing and slicing for sparse tensor

Question

I\'m trying to access elements of the sparse coo tensor.

i = [[0,2]]
v = [np.array([1,2,3,4]),[5,6,7,8]]
a = torch.sparse_coo_tensor(i,v,(4,4))
print(a.to_dense()