code: def _load_entry_from_hubconf(m, model):
      if not isinstance(model, str):
          raise ValueError(
              "Invalid input: model should be a string of function name"
          )
  
      # Note that if a missing dependency is imported at top level of hubconf, it will
      # throw before this function. It's a chicken and egg situation where we have to
      # load hubconf to know what're the dependencies, but to import hubconf it requires
      # a missing package. This is fine, Python will throw proper error message for users.
      _check_dependencies(m)
  
      func = _load_attr_from_module(m, model)
  
      if func is None or not callable(func):
          raise RuntimeError(f"Cannot find callable {model} in hubconf")
  
      return func
  
imports: import contextlib
  import errno
  import hashlib
  import json
  import os
  import re
  import shutil
  import sys
  import tempfile
  import torch
  import uuid
  import warnings
  import zipfile
  from pathlib import Path
  from typing import Dict, Optional, Any
  from urllib.error import HTTPError, URLError
  from urllib.request import urlopen, Request
  from urllib.parse import urlparse
  from torch.serialization import MAP_LOCATION
label_desc: Use image node_id 14 for calling a global function with example usage: _load_entry_from_hubconf(m, model) and returns: func