lmflow.pipeline.utils.rm_dataprocessor
======================================

.. py:module:: lmflow.pipeline.utils.rm_dataprocessor


Attributes
----------

.. autoapisummary::

   lmflow.pipeline.utils.rm_dataprocessor.logger


Classes
-------

.. autoapisummary::

   lmflow.pipeline.utils.rm_dataprocessor.RewardDataCollatorWithPadding


Module Contents
---------------

.. py:data:: logger

.. py:class:: RewardDataCollatorWithPadding

   .. py:attribute:: tokenizer
      :type:  transformers.AutoTokenizer


   .. py:attribute:: padding
      :type:  Union[bool, str, transformers.utils.PaddingStrategy]
      :value: True



   .. py:attribute:: max_length
      :type:  Optional[int]
      :value: None



   .. py:attribute:: pad_to_multiple_of
      :type:  Optional[int]
      :value: None



   .. py:attribute:: return_tensors
      :type:  str
      :value: 'pt'



   .. py:method:: __call__(features: List[Dict[str, Any]]) -> Dict[str, Any]