code: def ascontiguousarray(
      x: NdarrayTensor | T, **kwargs
  ) -> NdarrayOrTensor | T:
      """`np.ascontiguousarray` with equivalent implementation for torch (`contiguous`).
  
      Args:
          x: array/tensor.
          kwargs: if `x` is PyTorch Tensor, additional args for `torch.contiguous`, more details:
              https://pytorch.org/docs/stable/generated/torch.Tensor.contiguous.html.
  
      """
      if isinstance(x, np.ndarray):
          if x.ndim == 0:
              return x
          return np.ascontiguousarray(x)
      if isinstance(x, torch.Tensor):
          return x.contiguous(**kwargs)
      return x
  
imports: from __future__ import annotations
  from collections.abc import Sequence
  from typing import TypeVar
  import numpy
  import torch
  from monai.config.type_definitions import NdarrayOrTensor, NdarrayTensor
  from monai.utils.misc import is_module_ver_at_least
  from monai.utils.type_conversion import convert_data_type, convert_to_dst_type
label_desc: Use image node_id 22 for calling a global function with example usage: ascontiguousarray(x) and returns: x, np, x, x