code: def __init__(
      self,
      batch_size,
      function,
      num_threads=1,
      device_id=0,
      num_gpus=1,
      dtype=types.UINT8,
      prime_size=False,
  ):
      super().__init__(
          batch_size,
          num_threads,
          device_id,
          exec_async=False,
          exec_pipelined=False,
      )
      self.dtype = dtype
      self.prime_size = prime_size
      self.input = ops.readers.Caffe(
          path=caffe_db_folder, shard_id=device_id, num_shards=num_gpus
      )
      self.decode = ops.decoders.Image(
          device="cpu", output_type=types.RGB
      )
  
      self.water = ops.PythonFunction(
          function=function, output_layouts="HWC"
      )
  
imports: import nose_utils
  from nvidia.dali.pipeline import Pipeline
  import nvidia.dali.ops
  import nvidia.dali.fn
  import nvidia.dali.types
  import nvidia.dali
  import numpy
  import os
  import cv2
  from test_utils import compare_pipelines
  from test_utils import get_dali_extra_path
label_desc: Use image node_id 1 to create a new WaterPythonPipeline object from inherited base classes: Pipeline with example: obj = WaterPythonPipeline(batch_size, function, num_threads, device_id, num_gpus, dtype, prime_size)