code: def __init__(
      self, path, batch_size, num_threads=1, device_id=0, num_gpus=1
  ):
      super(CaffeReaderPipeline, self).__init__(
          batch_size, num_threads, device_id
      )
      self.input = ops.readers.Caffe(
          path=path, shard_id=device_id, num_shards=num_gpus
      )
  
      self.decode = ops.decoders.ImageCrop(
          device="cpu",
          crop=(224, 224),
          crop_pos_x=0.3,
          crop_pos_y=0.2,
          output_type=types.RGB,
      )
  
imports: from nvidia.dali import Pipeline, pipeline_def
  import nvidia.dali.ops
  import nvidia.dali.fn
  import nvidia.dali.types
  from numpy.testing import assert_array_equal
  import os
  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 CaffeReaderPipeline object from inherited base classes: Pipeline with example: obj = CaffeReaderPipeline(path, batch_size, num_threads, device_id, num_gpus)