class_docstr: 当一个 batch 中的数据存在 shape，dtype 之类的不一致时的报错。
class_docstr_tok: ["\u5f53\u4e00\u4e2a","batch","\u4e2d\u7684\u6570\u636e\u5b58\u5728","shape\uff0cdtype","\u4e4b\u7c7b\u7684\u4e0d\u4e00\u81f4\u65f6\u7684\u62a5\u9519\u3002"]
code: def __init__(self, msg, *args):
      super(InconsistencyError, self).__init__(msg, *args)
  
file_path: fastNLP/fastNLP/core/collators/padders/exceptions.py
label_desc: Use image node_id 1 to create a new InconsistencyError object from inherited base classes: BaseException with example: obj = InconsistencyError(msg)