docstr: Verify that grad clipping is not saved with the model, but is attached at training time
docstr_tok: ["Verify","that","grad","clipping","is","not","saved","with","the","model",",","but","is","attached","at","training","time"]
code: def test_grad_clip_hooks(self, wordvec_pretrain_file):
      """
      Verify that grad clipping is not saved with the model, but is attached at training time
      """
      with tempfile.TemporaryDirectory(
          dir=TEST_WORKING_DIR
      ) as tmpdirname:
          args = ["--grad_clipping", "25"]
          self.run_train_test(
              wordvec_pretrain_file, tmpdirname, extra_args=args
          )
  
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 17 for calling the TestTrainer obj's underlying member method code with example usage: obj.test_grad_clip_hooks(wordvec_pretrain_file) without return types