code: def define_graph(self):
      jpegs, labels = self.input(name="Reader")
      images_cpu = self.decode(jpegs)
  
      rng = ops.random.Uniform(range=[100, 128])
      cast = ops.Cast(dtype=types.INT32)
      widths = cast(rng()) * 2.0
      heights = cast(rng()) * 2.0
      images_cpu = self.resize(
          images_cpu, resize_x=widths, resize_y=heights
      )
  
      shapes = self.gen_shapes(images_cpu)
      images = images_cpu.gpu() if self.device == "gpu" else images_cpu
      if self.relative:
          reshaped = self.reshape(images, rel_shape=shapes)
      else:
          reshaped = self.reshape(images, shape=shapes)
  
      return [images, reshaped]
  
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 2 for calling the ReshapeWithArgInput obj's underlying member method code with example usage: obj.define_graph() and returns: list