code: def parse_data_train(image, label):
      image = tf.io.decode_jpeg(image, NUM_CHANNELS)
      image = tf.image.resize(image, size=(WIDTH, HEIGHT))
      image = tf.reshape(image, [WIDTH, HEIGHT, NUM_CHANNELS])
      return image, label
  
file_path: analytics-zoo/pyzoo/test/zoo/orca/data/test_read_parquet_images.py
imports: import tempfile
  import shutil
  import pytest
  from unittest import TestCase
  import os
  from zoo.orca.data.image.parquet_dataset import ParquetDataset, read_parquet
  from zoo.orca.data.image.utils import DType, FeatureType, SchemaField
  import tensorflow
  from zoo.ray import RayContext
label_desc: Use image node_id 2 for calling a global function with example usage: parse_data_train(image, label) and returns: image,  label