code: def load_state_dict(checkpoint_path):
      sd = torch.load(checkpoint_path, map_location="cpu")
      return sd
  
file_path: transformers/src/transformers/models/visual_bert/convert_visual_bert_original_pytorch_checkpoint_to_pytorch.py
imports: import argparse
  from collections import OrderedDict
  from pathlib import Path
  import torch
  from transformers import VisualBertConfig, VisualBertForMultipleChoice, VisualBertForPreTraining, VisualBertForQuestionAnswering, VisualBertForVisualReasoning
  from transformers.utils import logging
label_desc: Use image node_id 1 for calling a global function with example usage: load_state_dict(checkpoint_path) and returns: sd