code: def __getitem__(self, key):
      if isinstance(key, slice):
          start, stop, step = self._split_slice(key)
          ret = ivy.arange(start, stop, step)
          return (
              ivy.native_array(ret, dtype="int64")
              if ivy.is_int_dtype(ret)
              else ivy.native_array(ret, dtype="float64")
          )
      # more than one slice , key is tuple
      self.grids = []
      self.shapes = []
      for k in key:
          start, stop, step = self._split_slice(k)
          ret = ivy.arange(start, stop, step)
          self.grids.append(ret)
          self.shapes.append(ivy.shape(ret)[0])
      self._process_arrays()
      return self._ret_grids()
  
imports: import ivy
  from ivy.functional.frontends.numpy.func_wrapper import outputs_to_frontend_arrays, to_ivy_arrays_and_back, handle_numpy_dtype
label_desc: Use image node_id 2 for calling the nd_grid obj's underlying member method code with example usage: obj.__getitem__(key) and returns: self, unknown