code: def test_rotate_interpolation_type(self):
      tensor, _ = _create_data(26, 26)
      res1 = F.rotate(tensor, 45, interpolation=PIL.Image.BILINEAR)
      res2 = F.rotate(tensor, 45, interpolation=BILINEAR)
      assert_equal(res1, res2)
  
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 3 for calling the TestRotate obj's underlying member method code with example usage: obj.test_rotate_interpolation_type() without return types