彻底解决Tensorflow2.0 使用tensorflow_datasets出现unbalanced parenthesis错误

Love The Way You Lie 2022-02-27 06:00 927阅读 0赞

**安装tensorflow2.0和安装tensorflow\_datasets**

pip install tensorflow==2.0.0-alpha0 
    pip install tensorflow_datasets

**运行以下代码会发生错误：**

import tensorflow_datasets as tfds
    import tensorflow as tf
    
    dataset, info = tfds.load('imdb_reviews/subwords8k',with_info=True, as_supervised=True)
    train_dataset, test_dataset = dataset['train'], dataset['test']
    
    tokenizer = info.features['text'].encoder
    print ('Vocabulary size: {}'.format(tokenizer.vocab_size))
    
    sample_string = 'TensorFlow is cool.'
    tokenized_string = tokenizer.encode(sample_string)
    print ('Tokenized string is {}'.format(tokenized_string))

**错误信息:**

File "D:\newmyeclipseworkspace\Attention\src\tensorflow2\testRNN.py", line 11, in <module>
        dataset, info = tfds.load('imdb_reviews/subwords8k',with_info=True, as_supervised=True)
      File "C:\Users\admin\AppData\Local\Programs\Python\Python37\lib\site-packages\wrapt\wrappers.py", line 564, in __call__
        args, kwargs)
      File "C:\Users\admin\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow_datasets\core\api_utils.py", line 52, in disallow_positional_args_dec
        return fn(*args, **kwargs)
      File "C:\Users\admin\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow_datasets\core\registered.py", line 253, in load
        dbuilder.download_and_prepare(**download_and_prepare_kwargs)
      File "C:\Users\admin\AppData\Local\Programs\Python\Python37\lib\site-packages\wrapt\wrappers.py", line 603, in __call__
        args, kwargs)
      File "C:\Users\admin\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow_datasets\core\api_utils.py", line 52, in disallow_positional_args_dec
        return fn(*args, **kwargs)
      File "C:\Users\admin\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow_datasets\core\dataset_builder.py", line 218, in download_and_prepare
        max_examples_per_split=download_config.max_examples_per_split)
      File "C:\Users\admin\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow_datasets\core\dataset_builder.py", line 667, in _download_and_prepare
        output_files,
      File "C:\Users\admin\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow_datasets\core\file_format_adapter.py", line 107, in write_from_generator
        _write_tfrecords_from_generator(wrapped, output_files, shuffle=True)
      File "C:\Users\admin\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow_datasets\core\file_format_adapter.py", line 272, in _write_tfrecords_from_generator
        _round_robin_write(writers, generator)
      File "C:\Users\admin\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow_datasets\core\file_format_adapter.py", line 285, in _round_robin_write
        for i, example in enumerate(tqdm.tqdm(generator, unit=" examples")):
      File "C:\Users\admin\AppData\Local\Programs\Python\Python37\lib\site-packages\tqdm\_tqdm.py", line 1022, in __iter__
        for obj in iterable:
      File "C:\Users\admin\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow_datasets\core\file_format_adapter.py", line 106, in <genexpr>
        _dict_to_tf_example(d).SerializeToString() for d in generator_fn())
      File "C:\Users\admin\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow_datasets\core\dataset_builder.py", line 637, in generator_fn
        for i, ex in enumerate(self._generate_examples(**kwargs)):
      File "C:\Users\admin\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow_datasets\text\imdb.py", line 148, in _generate_examples
        reg = re.compile(os.path.join("^%s" % directory, "(?P<label>neg|pos)", ""))
      File "C:\Users\admin\AppData\Local\Programs\Python\Python37\lib\re.py", line 234, in compile
        return _compile(pattern, flags)
      File "C:\Users\admin\AppData\Local\Programs\Python\Python37\lib\re.py", line 286, in _compile
        p = sre_compile.compile(pattern, flags)
      File "C:\Users\admin\AppData\Local\Programs\Python\Python37\lib\sre_compile.py", line 764, in compile
        p = sre_parse.parse(p, flags)
      File "C:\Users\admin\AppData\Local\Programs\Python\Python37\lib\sre_parse.py", line 944, in parse
        raise source.error("unbalanced parenthesis")
    re.error: unbalanced parenthesis at position 32

**解决方法:**  
**进入xxx\\Python37\\Lib\\site-packages\\tensorflow\_datasets\\text\\[imdb.py][]**  
**修改一下代码:**

def _generate_examples(self, archive, directory):
        """Generate IMDB examples."""
        #reg = re.compile(os.path.join("^%s" % directory, "(?P<label>neg|pos)", ""))
        reg = re.compile("aclImdb\\\\(train|test)\\\\(?P<label>neg|pos)\\\\")
        for path, imdb_f in archive:
          res = reg.match(path)
          if not res:
            continue
          text = imdb_f.read().strip()
          yield { 
              "text": text,
              "label": res.groupdict()["label"],
          }

[imdb.py]: http://imdb.py