请问如何对使用paddleslim 对微调后的uie-m-base模型进行自动压缩？

[zwjwhxz]

环境：
paddlenlp 2.8.1
paddlepaddle-gpu 2.6.1
paddleslim 2.6.

使用paddleslim2.6版本中的example/auto_compression/nlp/run_uie.py脚本，运行报错oved in a future version, please use max_length instead.
/appslog/miniconda3/envs/pEnv39/lib/python3.9/site-packages/paddlenlp/transformers/tokenizer_utils_base.py:1912: FutureWarning: The pad_to_max_length argument is deprecated and will be removed in a future version, use padding=True or padding='longest' to pad to the longest sequence in the batch, or use padding='max_length' to pad to a max length. In this case, you can give a specific length with max_length (e.g. max_length=45) or leave max_length to None to pad to the maximal input size of the model (e.g. 512 for Bert).
Exception in thread Thread-1:
Traceback (most recent call last):
File "/appslog/miniconda3/envs/pEnv39/lib/python3.9/threading.py", line 980, in _bootstrap_inner
self.run()
File "/appslog/miniconda3/envs/pEnv39/lib/python3.9/threading.py", line 917, in run
self._target(*self._args, **self._kwargs)
File "/appslog/miniconda3/envs/pEnv39/lib/python3.9/site-packages/paddle/io/dataloader/dataloader_iter.py", line 235, in _thread_loop
batch = self._dataset_fetcher.fetch(
File "/appslog/miniconda3/envs/pEnv39/lib/python3.9/site-packages/paddle/io/dataloader/fetcher.py", line 77, in fetch
data.append(self.dataset[idx])
File "/appslog/miniconda3/envs/pEnv39/lib/python3.9/site-packages/paddlenlp/datasets/dataset.py", line 263, in getitem
return self._transform(self.new_data[idx]) if self._transform_pipline else self.new_data[idx]
File "/appslog/miniconda3/envs/pEnv39/lib/python3.9/site-packages/paddlenlp/datasets/dataset.py", line 255, in _transform
data = fn(data)
File "/appslog/homezwj/pycharmProject/clsLab/UIE/scriptTrain/compresslim/run_uie_org.py", line 105, in convert_example
"token_type_ids": encoded_inputs["token_type_ids"],
KeyError: 'token_type_ids