code: def __init__(
      self,
      device,
      batch_size,
      relative,
      use_wildcard,
      num_threads=3,
      device_id=0,
      num_gpus=1,
  ):
      super(ReshapeWithArgInput, self).__init__(
          batch_size,
          num_threads,
          device_id,
          seed=7865,
          exec_async=False,
          exec_pipelined=False,
      )
      self.device = device
      self.input = ops.readers.Caffe(
          path=caffe_db_folder, shard_id=device_id, num_shards=num_gpus
      )
      self.resize = ops.Resize(device="cpu")
      self.decode = ops.decoders.Image(
          device="cpu", output_type=types.RGB
      )
      self.gen_shapes = ops.PythonFunction(
          function=MakeTallFunc(relative, use_wildcard)
      )
      self.reshape = ops.Reshape(device=device)
      self.relative = relative
  
imports: from nvidia.dali.pipeline import Pipeline
  from nvidia.dali import pipeline_def
  import nvidia.dali.fn
  import nvidia.dali.ops
  import nvidia.dali.types
  import numpy
  from numpy.testing import assert_array_equal
  import os
  from nose_utils import assert_raises
  from nose2.tools import params
label_desc: Use image node_id 1 to create a new ReshapeWithArgInput object from inherited base classes: Pipeline with example: obj = ReshapeWithArgInput(device, batch_size, relative, use_wildcard, num_threads, device_id, num_gpus)