code: def ravel(x: NdarrayOrTensor) -> NdarrayOrTensor:
      """`np.ravel` with equivalent implementation for torch.
  
      Args:
          x: array/tensor to ravel.
  
      Returns:
          Return a contiguous flattened array/tensor.
      """
      if isinstance(x, torch.Tensor):
          if hasattr(torch, "ravel"):  # `ravel` is new in torch 1.8.0
              return x.ravel()
          return x.flatten().contiguous()
      return np.ravel(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 13 for calling a global function with example usage: ravel(x) and returns: np, x, x