code: def setup_normalize_img_and_label(self):
      self.small_img = tf.random.uniform(
          shape=[100, 50, 3], maxval=255, dtype=tf.dtypes.int32
      )
      self.big_img = tf.random.uniform(
          shape=[300, 500, 3], maxval=255, dtype=tf.dtypes.int32
      )
      self.image_size = 224
      self.width_ratio = 2
      self.expected_img_shape = [
          self.image_size,
          self.image_size * self.width_ratio,
          3,
      ]
      self.label = tf.convert_to_tensor(4)
  
imports: import os
  import uuid
  from absl.testing import absltest
  import mock
  import tensorflow
  from tensorflow_cloud.core import machine_config
  from tensorflow_cloud.core import run
  from tensorflow_cloud.core.experimental import models
  from official.legacy.image_classification.efficientnet import efficientnet_model
label_desc: Use image node_id 2 for calling the ModelsTest obj's underlying member method code with example usage: obj.setup_normalize_img_and_label() without return types