code: def inverse(self, u, cond):
      x, log_abs_det_jacobian = self.net.inverse(u, cond)
      if self.scale is not None:
          x *= self.scale
          log_abs_det_jacobian += torch.log(torch.abs(self.scale))
      return x, log_abs_det_jacobian
  
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 6 for calling the Flow obj's underlying member method code with example usage: obj.inverse(u, cond) and returns: x,  log_abs_det_jacobian