code: def integrate(self, t):
      solution = torch.empty(
          len(t),
          *self.y0.shape,
          dtype=self.y0.dtype,
          device=self.y0.device,
      )
      solution[0] = self.y0
      t = t.to(self.dtype)
      self._before_integrate(t)
      for i in range(1, len(t)):
          solution[i] = self._advance(t[i])
      return solution
  
imports: import abc
  import torch
  from .event_handling import find_event
  from .misc import _handle_unused_kwargs
label_desc: Use image node_id 5 for calling the AdaptiveStepsizeODESolver obj's underlying member method code with example usage: obj.integrate(t) and returns: solution