lmflow.pipeline.utils.rm_dataprocessor# Attributes# logger Classes# RewardDataCollatorWithPadding Module Contents# lmflow.pipeline.utils.rm_dataprocessor.logger[source]# class lmflow.pipeline.utils.rm_dataprocessor.RewardDataCollatorWithPadding[source]# tokenizer: transformers.AutoTokenizer[source]# padding: bool | str | transformers.utils.PaddingStrategy = True[source]# max_length: int | None = None[source]# pad_to_multiple_of: int | None = None[source]# return_tensors: str = 'pt'[source]# __call__(features: List[Dict[str, Any]]) → Dict[str, Any][source]#
