code: def __init__(
      self,
      device,
      batch_size,
      layout,
      iterator,
      pos_size_iter,
      num_threads=1,
      device_id=0,
      num_gpus=1,
      axes=None,
      axis_names=None,
      normalized_anchor=True,
      normalized_shape=True,
      extra_outputs=False,
      out_of_bounds_policy=None,
      fill_values=None,
      input_type=types.FLOAT,
      output_type=None,
  ):
      super().__init__(batch_size, num_threads, device_id, seed=1234)
      self.device = device
      self.layout = layout
      self.iterator = iterator
      self.pos_size_iter = pos_size_iter
      self.inputs = ops.ExternalSource()
      self.input_crop_pos = ops.ExternalSource()
      self.input_crop_size = ops.ExternalSource()
      self.extra_outputs = extra_outputs
      self.cast_in = ops.Cast(dtype=input_type)
      self.slice = ops.Slice(
          device=self.device,
          dtype=output_type,
          normalized_anchor=normalized_anchor,
          normalized_shape=normalized_shape,
          axes=axes,
          axis_names=axis_names,
          out_of_bounds_policy=out_of_bounds_policy,
          fill_values=fill_values,
      )
  
imports: from nvidia.dali import Pipeline, pipeline_def, ops, fn, types
  import numpy
  import os
  from functools import partial
  from math import floor
  from test_utils import compare_pipelines, get_dali_extra_path, RandomDataIterator, generator_random_axes_for_3d_input, generator_random_data, as_array
  from nose_utils import assert_raises
  from nose2.tools import params
label_desc: Use image node_id 1 to create a new SliceSynthDataPipeline object from inherited base classes: Pipeline with example: obj = SliceSynthDataPipeline(device, batch_size, layout, iterator, pos_size_iter, num_threads, device_id, num_gpus, axes, axis_names, normalized_anchor, normalized_shape, extra_outputs, out_of_bounds_policy, fill_values, input_type, output_type)