code: def test_random_affine_fill(device, interpolation, fill):
      _test_random_affine_helper(
          device, degrees=0.0, interpolation=interpolation, fill=fill
      )
  
imports: import os
  import sys
  import numpy
  import PIL.Image
  import pytest
  import torch
  from common_utils import _assert_approx_equal_tensor_to_pil, _assert_equal_tensor_to_pil, _create_data, _create_data_batch, assert_equal, cpu_and_cuda, float_dtypes, get_tmp_dir, int_dtypes
  from torchvision import transforms
  from torchvision.transforms import functional, InterpolationMode
  from torchvision.transforms.autoaugment import _apply_op
label_desc: Use image node_id 22 for calling a global function with example usage: test_random_affine_fill(device, interpolation, fill) without return types