code: def integrate(self, t):
      time_grid = self.grid_constructor(self.func, self.y0, t)
      assert time_grid[0] == t[0] and time_grid[-1] == t[-1]
  
      solution = torch.empty(
          len(t),
          *self.y0.shape,
          dtype=self.y0.dtype,
          device=self.y0.device,
      )
      solution[0] = self.y0
  
      j = 1
      y0 = self.y0
      for t0, t1 in zip(time_grid[:-1], time_grid[1:]):
          dt = t1 - t0
          self.func.callback_step(t0, y0, dt)
          dy, f0 = self._step_func(self.func, t0, dt, t1, y0)
          y1 = y0 + dy
  
          while j < len(t) and t1 >= t[j]:
              if self.interp == "linear":
                  solution[j] = self._linear_interp(
                      t0, t1, y0, y1, t[j]
                  )
              elif self.interp == "cubic":
                  f1 = self.func(t1, y1)
                  solution[j] = self._cubic_hermite_interp(
                      t0, y0, f0, t1, y1, f1, t[j]
                  )
              else:
                  raise ValueError(
                      f"Unknown interpolation method {self.interp}"
                  )
              j += 1
          y0 = y1
  
      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 FixedGridODESolver obj's underlying member method code with example usage: obj.integrate(t) and returns: solution