code: def _float_feature(value):
      """Creates a float Feature."""
      return tf.train.Feature(
          float_list=tf.train.FloatList(value=value)
      )
  
file_path: magenta/magenta/models/image_stylization/image_stylization_create_dataset.py
imports: import io
  import os
  from magenta.models.image_stylization import image_utils
  from magenta.models.image_stylization import learning
  import skimage.io
  import tensorflow.compat.v1
label_desc: Use image node_id 2 for calling a global function with example usage: _float_feature(value) and returns: tf