code: def _preprocessing_fn(inputs):
      return {
          "x_centered": tf.cast(inputs["feature0"], tf.float32)
          - tft.mean(inputs["feature0"]),
          "x_scaled": tft.scale_by_min_max(inputs["feature0"]),
      }
  
file_path: transform/examples/dataset_tfxio_example.py
imports: import pprint
  import tempfile
  from absl import app
  import apache_beam
  import tensorflow
  import tensorflow_transform
  import tensorflow_transform.beam.impl
  from tfx_bsl.tfxio import dataset_tfxio
label_desc: Use image node_id 2 for calling a global function with example usage: _preprocessing_fn(inputs) and returns: dict