code: def _as_tuple(
      value: Any,
      num_elements: int,
      error_message_lambda: Callable[[], str],
  ) -> Tuple:
      if not isinstance(value, tuple):
          return (value,) * num_elements
      if len(value) != num_elements:
          raise ValueError(error_message_lambda())
      return value
  
imports: import torch
  import functools
  import threading
  from torch import Tensor
  from typing import Any, Callable, Optional, Tuple, Union, List
  from torch.utils._pytree import tree_flatten, tree_unflatten, tree_map_, _broadcast_to_and_flatten, TreeSpec
  from functools import partial
  import os
  import itertools
  from torch._C._functorch import _add_batch_dim, _remove_batch_dim, _vmap_decrement_nesting, _vmap_increment_nesting, is_batchedtensor
label_desc: Use image node_id 4 for calling a global function with example usage: _as_tuple(value, num_elements, error_message_lambda) and returns: value, unknown