code: def test_dict_tuple_outputs_equivalent(
      self, expected_max_difference=1e-4
  ):
      components = self.get_dummy_components()
      pipe = self.pipeline_class(**components)
      pipe.to(torch_device)
      pipe.set_progress_bar_config(disable=None)
  
      output = pipe(**self.get_dummy_inputs(self.generator_device))[0]
      output_tuple = pipe(
          **self.get_dummy_inputs(self.generator_device),
          return_dict=False,
      )[0]
  
      max_diff = np.abs(to_np(output) - to_np(output_tuple)).max()
      self.assertLess(max_diff, expected_max_difference)
  
imports: import contextlib
  import inspect
  import io
  import re
  import tempfile
  import unittest
  import numpy
  import torch
  from transformers import CLIPTextConfig, CLIPTextModel, CLIPTextModelWithProjection, CLIPTokenizer
  from diffusers import AutoencoderKL, DDIMScheduler, TextToVideoZeroSDXLPipeline, UNet2DConditionModel
  from diffusers.utils.import_utils import is_accelerate_available, is_accelerate_version
  from diffusers.utils.testing_utils import enable_full_determinism, nightly, require_torch_gpu, torch_device
  from ..pipeline_params import TEXT_TO_IMAGE_BATCH_PARAMS, TEXT_TO_IMAGE_IMAGE_PARAMS, TEXT_TO_IMAGE_PARAMS
  from ..test_pipelines_common import PipelineTesterMixin
label_desc: Use image node_id 7 for calling the TextToVideoZeroSDXLPipelineFastTests obj's underlying member method code with example usage: obj.test_dict_tuple_outputs_equivalent(expected_max_difference) without return types