code: def f_corrected_default(self, t, y_aug):  # For Ito general/scalar.
      y, adj_y, _, requires_grad = self.get_state(t, y_aug)
      with torch.enable_grad():
          f, g = self.forward_sde.f_and_g(-t, y)
          return self._f_corrected_default(
              f, g, y, adj_y, requires_grad
          )
  
imports: import torch
  from .None import base_sde
  from .None import misc
  from ..settings import NOISE_TYPES, SDE_TYPES
  from ..types import Sequence, TensorOrTensors
label_desc: Use image node_id 8 for calling the AdjointSDE obj's underlying member method code with example usage: obj.f_corrected_default(t, y_aug) and returns: self