code: def __init__(
      self,
      device,
      batch_size,
      relative,
      use_wildcard,
      num_threads=3,
      device_id=0,
      num_gpus=1,
  ):
      super(ReshapePipeline, self).__init__(
          batch_size,
          num_threads,
          device_id,
          seed=7865,
          exec_async=True,
          exec_pipelined=True,
      )
      self.device = device
      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
      )
      W = 320
      H = 224
      self.resize = ops.Resize(device="cpu", resize_x=W, resize_y=H)
      WC = -1 if use_wildcard else W * 3
      if relative:
          rel_shape = (-1, 3) if use_wildcard else (1, 3)
          self.reshape = ops.Reshape(
              device=device, rel_shape=rel_shape, layout="ab"
          )
      else:
          self.reshape = ops.Reshape(
              device=device, shape=(H, WC), layout="ab"
          )
  
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 ReshapePipeline object from inherited base classes: Pipeline with example: obj = ReshapePipeline(device, batch_size, relative, use_wildcard, num_threads, device_id, num_gpus)