code: def __init__(
      self,
      device,
      iterator,
      batch_size,
      num_threads=1,
      exec_async=True,
      exec_pipelined=True,
  ):
      super(NaturalLogarithmPipeline, self).__init__(
          batch_size,
          num_threads,
          device_id=0,
          seed=42,
          exec_async=exec_async,
          exec_pipelined=exec_pipelined,
      )
      self.device = device
      self.inputs = ops.ExternalSource()
      self.iterator = iterator
      self.log = None
  
imports: from nvidia.dali.pipeline import Pipeline
  import nvidia.dali.ops
  import numpy
  from functools import partial
  from test_utils import compare_pipelines
  from test_utils import RandomDataIterator
  from nose_utils import raises
label_desc: Use image node_id 1 to create a new NaturalLogarithmPipeline object from inherited base classes: Pipeline with example: obj = NaturalLogarithmPipeline(device, iterator, batch_size, num_threads, exec_async, exec_pipelined)