code: def log_prob(self, x, y=None):
      u, log_abs_det_jacobian = self.forward(x, y)
      return torch.sum(
          self.base_dist.log_prob(u) + log_abs_det_jacobian, dim=-1
      )
  
imports: import copy
  import math
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.distributions import Normal
label_desc: Use image node_id 5 for calling the MADE obj's underlying member method code with example usage: obj.log_prob(x, y) and returns: torch