code: def test_image_mask_pipeline_to_torch(img_3x4, mask_3x4):
      ppl = slc.Stream(
          [
              slt.Rotate(angle_range=(90, 90), p=1),
              slt.Rotate(angle_range=(90, 90), p=1),
          ],
      )
      img, mask = ppl(
          {"image": img_3x4, "mask": mask_3x4},
          normalize=False,
          as_dict=False,
      )
      assert img.max().item() == 1
      assert mask.max().item() == 1
      assert isinstance(img, torch.FloatTensor)
      assert isinstance(mask, torch.FloatTensor)
  
imports: import itertools
  import random
  import cv2
  import numpy
  import pytest
  import torch
  import solt.core
  import solt.transforms
  import solt.utils
  from .fixtures import *
label_desc: Use image node_id 42 for calling a global function with example usage: test_image_mask_pipeline_to_torch(img_3x4, mask_3x4) without return types