code: def compute_loop_attr(
      edge_index: Tensor,
      edge_attr: Tensor,
      num_nodes: int,
      is_sparse: bool,
      fill_value: Optional[float] = None,
  ) -> Tensor:
      pass
  
imports: import typing
  from typing import Optional, Tuple, Union
  import torch
  from torch import Tensor
  from torch_geometric import EdgeIndex
  from torch_geometric.utils import scatter
  from torch_geometric.utils.num_nodes import maybe_num_nodes
  from torch_geometric.utils.sparse import is_torch_sparse_tensor, to_edge_index, to_torch_coo_tensor, to_torch_csr_tensor
label_desc: Use image node_id 40 for calling a global function with example usage: compute_loop_attr(edge_index, edge_attr, num_nodes, is_sparse, fill_value) without return types