code: def __call__(self, n_id: Tensor) -> Tuple[Tensor, Tensor, Tensor]:
      neighbors = self.neighbors[n_id]
      nodes = n_id.view(-1, 1).repeat(1, self.size)
      e_id = self.e_id[n_id]
  
      # Filter invalid neighbors (identified by `e_id < 0`).
      mask = e_id >= 0
      neighbors, nodes, e_id = neighbors[mask], nodes[mask], e_id[mask]
  
      # Relabel node indices.
      n_id = torch.cat([n_id, neighbors]).unique()
      self._assoc[n_id] = torch.arange(n_id.size(0), device=n_id.device)
      neighbors, nodes = self._assoc[neighbors], self._assoc[nodes]
  
      return n_id, torch.stack([neighbors, nodes]), e_id
  
imports: import copy
  from typing import Callable, Dict, Tuple
  import torch
  from torch import Tensor
  from torch.nn import GRUCell, Linear
  from torch_geometric.nn.inits import zeros
  from torch_geometric.utils import scatter
  from torch_geometric.utils._scatter import scatter_argmax
label_desc: Use image node_id 2 for calling the LastNeighborLoader obj's underlying member method code with example usage: obj.__call__(n_id) and returns: n_id,  torch,  e_id