code: def pretrain_mlp_as_identity(self, sess):
      for i in tqdm(range(20000)):
          input_npy = np.random.uniform(-0.5, 0.5, (32, self._shape[1]))
          sess.run(
              self._pretrain_ops,
              feed_dict={self._pretrain_input: input_npy},
          )
  
file_path: openrec/openrec/tf1/legacy/modules/extractions/temporal_latent_factor.py
imports: import tensorflow
  import numpy
  from tqdm import tqdm
  from openrec.tf1.legacy.modules.extractions import Extraction
  from openrec.tf1.legacy.modules.extractions import MultiLayerFC
label_desc: Use image node_id 4 for calling the TemporalLatentFactor obj's underlying member method code with example usage: obj.pretrain_mlp_as_identity(sess) without return types