docstr: Check that the parameters of an xlnet model don't change when training a basic model
docstr_tok: ["Check","that","the","parameters","of","an","xlnet","model","do","n't","change","when","training","a","basic","model"]
code: def test_bart_frozen(self, wordvec_pretrain_file, tiny_random_bart):
      """
      Check that the parameters of an xlnet model don't change when training a basic model
      """
      self.frozen_transformer_test(
          wordvec_pretrain_file, tiny_random_bart
      )
  
imports: from collections import defaultdict
  import logging
  import pathlib
  import tempfile
  import pytest
  import torch
  from torch import optim
  from stanza import Pipeline
  from stanza.models import constituency_parser
  from stanza.models.common import pretrain
  from stanza.models.common.bert_embedding import load_bert, load_tokenizer
  from stanza.models.common.foundation_cache import FoundationCache
  from stanza.models.common.utils import set_random_seed
  from stanza.models.constituency import lstm_model
  from stanza.models.constituency import trainer
  from stanza.models.constituency import tree_reader
  from stanza.tests import *
label_desc: Use image node_id 23 for calling the TestTrainer obj's underlying member method code with example usage: obj.test_bart_frozen(wordvec_pretrain_file, tiny_random_bart) without return types