code: def decode_user(self, theta, beta):
      h = theta.mm(beta.t())
      return torch.sigmoid(h)
  
file_path: cornac/cornac/models/bivaecf/bivae.py
imports: import itertools
  import numpy
  import torch
  import torch.nn
  from tqdm.auto import trange
label_desc: Use image node_id 7 for calling the BiVAE obj's underlying member method code with example usage: obj.decode_user(theta, beta) and returns: torch