code: def g_general(self, t, y: Tensor):
      y = y[:, :-1]
      g = self._base_sde.g(t, y)
      g_logqp = y.new_zeros(size=(g.size(0), 1, g.size(-1)))
      return torch.cat([g, g_logqp], dim=1)
  
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 6 for calling the SDELogqp obj's underlying member method code with example usage: obj.g_general(t, y) and returns: torch