code: def full_dataloader(
      self, **kwargs: Any
  ) -> torch.utils.data.DataLoader:
      warnings.filterwarnings(
          "ignore", ".*does not have many workers.*"
      )
      warnings.filterwarnings("ignore", ".*data loading bottlenecks.*")
  
      return torch.utils.data.DataLoader(
          [self.data],  # type: ignore
          collate_fn=lambda xs: xs[0],
          **kwargs,
      )
  
imports: import copy
  import inspect
  import warnings
  from typing import Any, Dict, Optional, Tuple, Type, Union
  import torch
  from torch_geometric.data import Data, Dataset, HeteroData
  from torch_geometric.loader import DataLoader, LinkLoader, NodeLoader
  from torch_geometric.sampler import BaseSampler, NeighborSampler
  from torch_geometric.typing import InputEdges, InputNodes, OptTensor
label_desc: Use image node_id 4 for calling the LightningData obj's underlying member method code with example usage: obj.full_dataloader() and returns: torch