code: def integrate(self, t):
      if t.numel() == 1:
          return torch.tensor(self.y0)[None].to(self.device, self.dtype)
      t = t.detach().cpu().numpy()
      sol = solve_ivp(
          self.func,
          t_span=[t.min(), t.max()],
          y0=self.y0,
          t_eval=t,
          method=self.solver,
          rtol=self.rtol,
          atol=self.atol,
          min_step=self.min_step,
          max_step=self.max_step,
      )
      sol = torch.tensor(sol.y).T.to(self.device, self.dtype)
      sol = sol.reshape(-1, *self.shape)
      return sol
  
file_path: torchdiffeq/torchdiffeq/_impl/scipy_wrapper.py
imports: import abc
  import torch
  from scipy.integrate import solve_ivp
  from .misc import _handle_unused_kwargs
label_desc: Use image node_id 2 for calling the ScipyWrapperODESolver obj's underlying member method code with example usage: obj.integrate(t) and returns: sol, torch