class_docstr: Normalizes feature names to 'inputs' and 'targets'.
class_docstr_tok: ["Normalizes","feature","names","to","'inputs","'","and","'targets","'","."]
code: def __init__(self, ds_info: tfds.core.DatasetInfo):
      self.ds_info = ds_info
  
file_path: flax/flax/experimental/nnx/examples/lm1b/input_pipeline.py
imports: import os
  from typing import Dict, List, Optional, Union
  import tensorflow
  import tensorflow_datasets
  import tokenizer
  from clu import deterministic_data
  from configs import default
label_desc: Use image node_id 1 to create a new NormalizeFeatureNamesOp object  with example: obj = NormalizeFeatureNamesOp(ds_info)