code: def _any(
      x: Tensor, dim: Union[int, Tuple[int, ...]], keepdim: bool = False
  ) -> Tensor:
      """Extension of torch.any, which supports reducing over tuples of dimensions.
  
      Args:
          x: The Tensor to reduce over.
          dim: An integer or a tuple of integers, representing the dimensions to reduce.
          keepdim: Whether to keep the reduced dimensions. Defaults to False.
  
      Returns:
          The Tensor corresponding to `any` over the specified dimensions.
      """
      if isinstance(dim, Tuple):
          for d in dim:
              x = x.any(dim=d, keepdim=True)
      else:
          x = x.any(dim, keepdim=True)
      return x if keepdim else x.squeeze(dim)
  
imports: from __future__ import annotations
  import math
  from typing import Callable, Tuple, Union
  import torch
  from botorch.exceptions import UnsupportedError
  from botorch.utils.constants import get_constants_like
  from torch import finfo, Tensor
  from torch.nn.functional import softplus
label_desc: Use image node_id 14 for calling a global function with example usage: _any(x, dim, keepdim) and returns: unknown