code: def test_adjust_brightness(device, dtype, config, channels):
      check_functional_vs_PIL_vs_scripted(
          F.adjust_brightness,
          F_pil.adjust_brightness,
          F_t.adjust_brightness,
          config,
          device,
          dtype,
          channels,
      )
  
imports: import colorsys
  import itertools
  import math
  import os
  from functools import partial
  from typing import Sequence
  import numpy
  import PIL.Image
  import pytest
  import torch
  import torchvision.transforms
  import torchvision.transforms._functional_pil
  import torchvision.transforms._functional_tensor
  import torchvision.transforms.functional
  from common_utils import _assert_approx_equal_tensor_to_pil, _assert_equal_tensor_to_pil, _create_data, _create_data_batch, _test_fn_on_batch, assert_equal, cpu_and_cuda, needs_cuda
  from torchvision.transforms import InterpolationMode
label_desc: Use image node_id 11 for calling a global function with example usage: test_adjust_brightness(device, dtype, config, channels) without return types