parameters: (image, label)
return_statement: return tf.cast(image, tf.float32) / 255.0, label
docstring: Normalizes images: `uint8` -> `float32`.
docstring_summary: Normalizes images: `uint8` -> `float32`.
docstring_tokens: Normalizes images : uint8 - > float32 .
function: def normalize_img(image, label):
      """Normalizes images: `uint8` -> `float32`."""
      return tf.cast(image, tf.float32) / 255.0, label
function_tokens: def normalize_img ( image , label ) : return tf . cast ( image , tf . float32 ) / 255.0 , label