code: def test_inference_batch_single_identical(self):
      additional_params_copy_to_batched_inputs = [
          "prior_num_inference_steps",
          "decoder_num_inference_steps",
          "super_res_num_inference_steps",
      ]
  
      self._test_inference_batch_single_identical(
          additional_params_copy_to_batched_inputs=additional_params_copy_to_batched_inputs,
          expected_max_diff=5e-3,
      )
  
imports: import gc
  import unittest
  import numpy
  import torch
  from transformers import CLIPTextConfig, CLIPTextModelWithProjection, CLIPTokenizer
  from diffusers import PriorTransformer, UnCLIPPipeline, UnCLIPScheduler, UNet2DConditionModel, UNet2DModel
  from diffusers.pipelines.unclip.text_proj import UnCLIPTextProjModel
  from diffusers.utils.testing_utils import enable_full_determinism, load_numpy, nightly, require_torch_gpu, skip_mps, torch_device
  from ..pipeline_params import TEXT_TO_IMAGE_BATCH_PARAMS, TEXT_TO_IMAGE_PARAMS
  from ..test_pipelines_common import PipelineTesterMixin, assert_mean_pixel_difference
label_desc: Use image node_id 19 for calling the UnCLIPPipelineFastTests obj's underlying member method code with example usage: obj.test_inference_batch_single_identical() without return types