code: def any(
      a: ArrayLike,
      axis: AxisLike = None,
      out: Optional[OutArray] = None,
      keepdims: KeepDims = False,
      *,
      where: NotImplementedType = None,
  ):
      axis = _util.allow_only_single_axis(axis)
      axis_kw = {} if axis is None else {"dim": axis}
      return torch.any(a, **axis_kw)
  
imports: from __future__ import annotations
  import functools
  from typing import Optional
  import torch
  from .None import _dtypes_impl, _util
  from ._normalizations import ArrayLike, AxisLike, DTypeLike, KeepDims, NotImplementedType, OutArray
label_desc: Use image node_id 6 for calling a global function with example usage: any(a, axis, out, keepdims) and returns: torch