code: def load_checkpoint(
      self, path: _PATH, storage_options: Optional[Any] = None
  ) -> Dict[str, Any]:
      return torch.load(path)
  
file_path: pytorch-lightning/tests/tests_pytorch/plugins/test_checkpoint_io_plugin.py
imports: import os
  from pathlib import Path
  from typing import Any, Dict, Optional
  from unittest.mock import MagicMock, Mock
  import torch
  from lightning.fabric.plugins import CheckpointIO, TorchCheckpointIO
  from lightning.fabric.utilities.types import _PATH
  from lightning.pytorch import Trainer
  from lightning.pytorch.callbacks import ModelCheckpoint
  from lightning.pytorch.demos.boring_classes import BoringModel
  from lightning.pytorch.plugins.io.async_plugin import AsyncCheckpointIO
  from lightning.pytorch.strategies import SingleDeviceStrategy
label_desc: Use image node_id 2 for calling the CustomCheckpointIO obj's underlying member method code with example usage: obj.load_checkpoint(path, storage_options) and returns: torch