code: def __init__(self, batch_size, num_threads, device_id, num_gpus):
      super().__init__(batch_size, num_threads, device_id)
      self.input = ops.readers.Caffe(
          path=lmdb_folder,
          random_shuffle=True,
          shard_id=device_id,
          num_shards=num_gpus,
      )
  
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 1 to create a new CaffeReadPipeline object from inherited base classes: CommonPipeline with example: obj = CaffeReadPipeline(batch_size, num_threads, device_id, num_gpus)