code: def as_batch(tensor):
      if isinstance(tensor, _Tensors.TensorListGPU):
          tensor = tensor.as_cpu()
      return [
          np.array(sample, dtype=types.to_numpy_type(sample.dtype))
          for sample in tensor
      ]
  
imports: import os
  import random
  import numpy
  from typing import List, Union, Callable, Optional
  from dataclasses import dataclass, field
  from nvidia.dali import pipeline_def
  import nvidia.dali.fn
  from nvidia.dali import types
  import nvidia.dali.tensors
  from test_utils import get_dali_extra_path, check_batch
label_desc: Use image node_id 2 for calling a global function with example usage: as_batch(tensor) and returns: unknown