code: def _g_prod(self, g_prod, y, adj_y, requires_grad):
      vjp_y_and_params = misc.vjp(
          outputs=g_prod,
          inputs=[y] + self.params,
          grad_outputs=adj_y,
          allow_unused=True,
          retain_graph=True,
          create_graph=requires_grad,
      )
      if not requires_grad:
          # See corresponding note in _f_uncorrected.
          g_prod = g_prod.detach()
      return misc.flatten((-g_prod, *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 6 for calling the AdjointSDE obj's underlying member method code with example usage: obj._g_prod(g_prod, y, adj_y, requires_grad) and returns: misc