code: def linalg_inv(x: NdarrayTensor) -> NdarrayTensor:
      """`torch.linalg.inv` with equivalent implementation for numpy.
  
      Args:
          x: array/tensor.
      """
      if isinstance(x, torch.Tensor) and hasattr(
          torch, "inverse"
      ):  # pytorch 1.7.0
          return torch.inverse(x)  # type: ignore
      return (
          torch.linalg.inv(x)
          if isinstance(x, torch.Tensor)
          else np.linalg.inv(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 26 for calling a global function with example usage: linalg_inv(x) and returns: unknown, torch