code: def dump():
      """Store the current runtime db state to the module file."""
      current_file = inspect.getfile(dump)
      f = open(current_file)
      current_content = f.read()
      f.close()
      begin_data_str = "# BEGIN GENERATED DATA\n"
      begin_data_index = current_content.find(begin_data_str)
      end_data_index = current_content.find(
          "    # END GENERATED DATA\n"
      )
      if begin_data_index == -1 or end_data_index == -1:
          warnings.warn(
              f"{current_file} cannot be updated:"
              " BEGIN/END GENERATED DATA comment blocks appear to be corrupted"
          )
          return
  
      def sort_key(key):
          op, device_name, version = key
          version = tuple(
              (str(item) if isinstance(item, torch.dtype) else item)
              for item in version
          )
          return (op, device_name, version)
  
      part1 = current_content[: begin_data_index + len(begin_data_str)]
      part2 = current_content[end_data_index:]
      data_part = []
      for op_key in sorted(
          _operation_device_version_data, key=sort_key
      ):
          data_part.append(
              "    " + repr(op_key).replace("'", '"') + ": {"
          )
          op_data = _operation_device_version_data[op_key]
          for key in sorted(op_data):
              data_part.append(f"        {key}: {op_data[key]},")
          data_part.append("    },")
      new_content = part1 + "\n".join(data_part) + "\n" + part2
      if current_content != new_content:
          f = open(current_file, "w")
          f.write(new_content)
          f.close()
  
file_path: pytorch/torch/sparse/_triton_ops_meta.py
imports: import inspect
  import itertools
  import re
  import warnings
  from typing import Any, Dict
  import torch
  from torch.hub import tqdm
  from torch.testing import make_tensor
label_desc: Use image node_id 3 for calling a global function with example usage: dump() and returns: op,  device_name,  version