code: def test_adjoint(self):
      for reverse in (False, True):
          for dtype in DTYPES:
              for device in DEVICES:
                  for ode in PROBLEMS:
                      if ode == "linear":
                          eps = 2e-3
                      else:
                          eps = 1e-4
  
                      with self.subTest(
                          reverse=reverse,
                          dtype=dtype,
                          device=device,
                          ode=ode,
                      ):
                          f, y0, t_points, sol = construct_problem(
                              dtype=dtype,
                              device=device,
                              ode=ode,
                              reverse=reverse,
                          )
                          y = torchdiffeq.odeint_adjoint(
                              f, y0, t_points
                          )
                          self.assertLess(rel_error(sol, y), eps)
  
imports: from functools import partial
  import unittest
  import warnings
  import torch
  import torchdiffeq
  from problems import construct_problem, PROBLEMS, DTYPES, DEVICES, METHODS, ADAPTIVE_METHODS, FIXED_METHODS, SCIPY_METHODS
label_desc: Use image node_id 2 for calling the TestSolverError obj's underlying member method code with example usage: obj.test_adjoint() without return types