code: def dump_session_params(path):
      
      # save variables that are GLOBAL, and either TRAINABLE or MODEL
      var = tf.get_collection(tf.GraphKeys.TRAINABLE_VARIABLES)
      var.extend(tf.get_collection(tf.GraphKeys.MODEL_VARIABLES))
      # TODO dedup
      assert len(set(var)) == len(var), "TRAINABLE and MODEL variables have duplication!"
      gvars = set([k.name for k in tf.global_variables()])
      var = [v for v in var if v.name in gvars]
      result = {}
      for v in var:
          result[v.name] = v.eval()
      save_chkpt_vars(result, path)
docs: Dump value of all TRAINABLE + MODEL variables to a dict, and save as
      npz format (loadable by :func:`sessinit.get_model_loader`).
  
      Args:
          path(str): the file name to save the parameters. Must ends with npz.