code: def _f_corrected_diagonal(self, f, g, y, adj_y, requires_grad):
      (g_dg_vjp,) = misc.vjp(
          outputs=g,
          inputs=y,
          grad_outputs=g,
          allow_unused=True,
          create_graph=True,
      )
      # Double Stratonovich correction.
      f = f - g_dg_vjp
      vjp_y_and_params = misc.vjp(
          outputs=f,
          inputs=[y] + self.params,
          grad_outputs=adj_y,
          allow_unused=True,
          retain_graph=True,
          create_graph=requires_grad,
      )
      # Convert the adjoint Stratonovich SDE to Itô form.
      (a_dg_vjp,) = misc.vjp(
          outputs=g,
          inputs=y,
          grad_outputs=adj_y,
          allow_unused=True,
          retain_graph=True,
          create_graph=requires_grad,
      )
      extra_vjp_y_and_params = misc.vjp(
          outputs=g,
          inputs=[y] + self.params,
          grad_outputs=a_dg_vjp,
          allow_unused=True,
          retain_graph=True,
          create_graph=requires_grad,
      )
      vjp_y_and_params = misc.seq_add(
          vjp_y_and_params, extra_vjp_y_and_params
      )
      if not requires_grad:
          # See corresponding note in _f_uncorrected.
          f = f.detach()
      return misc.flatten((-f, *vjp_y_and_params)).unsqueeze(0)
  
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 5 for calling the AdjointSDE obj's underlying member method code with example usage: obj._f_corrected_diagonal(f, g, y, adj_y, requires_grad) and returns: misc