code: def from_dlpack(x, /):
      t = torch.from_dlpack(x)
      return ndarray(t)
  
imports: from __future__ import annotations
  import builtins
  import math
  import operator
  from typing import Sequence
  import torch
  from .None import _dtypes, _dtypes_impl, _funcs, _ufuncs, _util
  from ._normalizations import ArrayLike, normalize_array_like, normalizer, NotImplementedType
label_desc: Use image node_id 7 for calling a global function with example usage: from_dlpack() and returns: ndarray