code: def parse_record(raw_record, is_training, dtype):
      image_buffer, label = _parse_example_proto(raw_record)
  
      image = preprocess_image(
          image_buffer=image_buffer,
          output_height=_DEFAULT_IMAGE_SIZE,
          output_width=_DEFAULT_IMAGE_SIZE,
          num_channels=_NUM_CHANNELS,
          is_training=is_training,
      )
      image = tf.cast(image, dtype)
  
      label = tf.cast(tf.reshape(label, shape=[1]), dtype=tf.float32)
  
      return image, label
  
imports: from zoo.orca import init_orca_context, stop_orca_context
  import os
  import argparse
  import tensorflow
label_desc: Use image node_id 10 for calling a global function with example usage: parse_record(raw_record, is_training, dtype) and returns: image,  label