code: def export_module_to_buffer(module) -> BytesIO:
      # traced_script_module = torch.jit.trace(module, module.input_prototype())
      write_buffer = BytesIO()
      torch.jit.save(module, write_buffer)
      return write_buffer
  
file_path: ReAgent/reagent/core/torch_utils.py
imports: from io import BytesIO
  from typing import Dict, List
  import numpy
  import torch
  from torchrec.sparse.jagged_tensor import JaggedTensor, KeyedJaggedTensor
label_desc: Use image node_id 4 for calling a global function with example usage: export_module_to_buffer(module) and returns: write_buffer