code: def __init__(
      self,
      batch_size=BATCH_SIZE,
      num_threads=NUM_WORKERS,
      device_id=DEVICE_ID,
      image_dir=images_dir,
  ):
      super().__init__(batch_size, num_threads, device_id, image_dir)
  
imports: import numpy
  import nvidia.dali.ops
  import nvidia.dali.plugin.pytorch
  import nvidia.dali.types
  import os
  import torch
  from nvidia.dali.pipeline import Pipeline
  from test_utils import get_dali_extra_path
label_desc: Use image node_id 1 to create a new BasicPipeline object from inherited base classes: CommonPipeline with example: obj = BasicPipeline(batch_size, num_threads, device_id, image_dir)