code: def isin(
      elements: torch.tensor,
      test_elements: torch.tensor,
      /,
      *,
      assume_unique: bool = False,
      invert: bool = False,
  ) -> torch.tensor:
      return torch.isin(
          elements,
          test_elements,
          assume_unique=assume_unique,
          invert=invert,
      )
  
imports: from functools import reduce
  from numbers import Number
  from operator import mul
  from typing import Optional, Union, Sequence, Callable, List, Tuple
  import numpy
  import torch
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes, _update_torch_views
  from .None import backend_version, is_variable
  from ...ivy.general import _broadcast_to
label_desc: Use image node_id 27 for calling a global function with example usage: isin() and returns: torch