code: def test_overload():
      row = torch.tensor([0, 1, 1, 2, 2])
      col = torch.tensor([1, 0, 2, 1, 2])
      mat = SparseTensor(row=row, col=col)
  
      other = torch.tensor([1, 2, 3]).view(3, 1)
      other + mat
      mat + other
      other * mat
      mat * other
  
      other = torch.tensor([1, 2, 3]).view(1, 3)
      other + mat
      mat + other
      other * mat
      mat * other
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_overload() without return types