code: def __init__(
      self,
      func,
      y0,
      step_size=None,
      grid_constructor=None,
      interp="linear",
      perturb=False,
      **unused_kwargs,
  ):
      self.atol = unused_kwargs.pop("atol")
      unused_kwargs.pop("rtol", None)
      unused_kwargs.pop("norm", None)
      _handle_unused_kwargs(self, unused_kwargs)
      del unused_kwargs
  
      self.func = func
      self.y0 = y0
      self.dtype = y0.dtype
      self.device = y0.device
      self.step_size = step_size
      self.interp = interp
      self.perturb = perturb
  
      if step_size is None:
          if grid_constructor is None:
              self.grid_constructor = lambda f, y0, t: t
          else:
              self.grid_constructor = grid_constructor
      else:
          if grid_constructor is None:
              self.grid_constructor = (
                  self._grid_constructor_from_step_size(step_size)
              )
          else:
              raise ValueError(
                  "step_size and grid_constructor are mutually exclusive arguments."
              )
  
imports: import abc
  import torch
  from .event_handling import find_event
  from .misc import _handle_unused_kwargs
label_desc: Use image node_id 1 to create a new FixedGridODESolver object  with example: obj = FixedGridODESolver(func, y0, step_size, grid_constructor, interp, perturb)