code: def forward(self, x, cond):
      if self.scale is not None:
          x /= self.scale
      u, log_abs_det_jacobian = self.net(x, cond)
      return u, 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 5 for calling the Flow obj's underlying member method code with example usage: obj.forward(x, cond) and returns: u,  log_abs_det_jacobian