code: def test_dali_tf_op(
      pipe_type=CaffeReadPipeline, batch_size=16, iterations=32
  ):
      test_batch = get_batch_dali(batch_size, pipe_type, tf.int32)
      try:
          from tensorflow.compat.v1 import GPUOptions
          from tensorflow.compat.v1 import ConfigProto
          from tensorflow.compat.v1 import Session
      except ImportError:
          # Older TF versions don't have compat.v1 layer
          from tensorflow import GPUOptions
          from tensorflow import ConfigProto
          from tensorflow import Session
  
      gpu_options = GPUOptions(per_process_gpu_memory_fraction=0.5)
      config = ConfigProto(gpu_options=gpu_options)
      with Session(config=config) as sess:
          for i in range(iterations):
              imgs, labels = sess.run(test_batch)
              # Testing correctness of labels
              for label in labels:
                  # labels need to be integers
                  assert np.equal(np.mod(label, 1), 0).all()
                  assert (label >= 0).all()
                  assert (label <= 999).all()
  
imports: import numpy
  import nvidia.dali.ops
  import nvidia.dali.plugin.tf
  import nvidia.dali.types
  import os.path
  import tensorflow
  from nvidia.dali.pipeline import Pipeline
  from nose_utils import raises
  from test_utils import get_dali_extra_path
label_desc: Use image node_id 2 for calling a global function with example usage: test_dali_tf_op(pipe_type, batch_size, iterations) without return types