code: def f_and_g_prod_default2(self, t, y, v):
      f, g = self.f_and_g(t, y)
      return f, self.prod(g, v)
  
imports: import abc
  import torch
  from torch import nn
  from .None import misc
  from ..settings import NOISE_TYPES, SDE_TYPES
  from ..types import Tensor
label_desc: Use image node_id 9 for calling the ForwardSDE obj's underlying member method code with example usage: obj.f_and_g_prod_default2(t, y, v) and returns: f,  self