code: def mean(
      a: ArrayLike,
      axis: AxisLike = None,
      dtype: Optional[DTypeLike] = None,
      out: Optional[OutArray] = None,
      keepdims: KeepDims = False,
      *,
      where: NotImplementedType = None,
  ):
      dtype = _atleast_float(dtype, a.dtype)
  
      axis_kw = {} if axis is None else {"dim": axis}
      result = a.mean(dtype=dtype, **axis_kw)
  
      return result
  
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 13 for calling a global function with example usage: mean(a, axis, dtype, out, keepdims) and returns: result