code: def test_callback_inputs(self):
      sig = inspect.signature(self.pipeline_class.__call__)
  
      if not (
          "callback_on_step_end_tensor_inputs" in sig.parameters
          and "callback_on_step_end" in sig.parameters
      ):
          return
  
      components = self.get_dummy_components()
      pipe = self.pipeline_class(**components)
      pipe = pipe.to(torch_device)
      pipe.set_progress_bar_config(disable=None)
  
      self.assertTrue(
          hasattr(pipe, "_callback_tensor_inputs"),
          f" {self.pipeline_class} should have `_callback_tensor_inputs` that defines a list of tensor variables its callback function can use as inputs",
      )
  
      def callback_inputs_test(pipe, i, t, callback_kwargs):
          missing_callback_inputs = set()
          for v in pipe._callback_tensor_inputs:
              if v not in callback_kwargs:
                  missing_callback_inputs.add(v)
          self.assertTrue(
              len(missing_callback_inputs) == 0,
              f"Missing callback tensor inputs: {missing_callback_inputs}",
          )
          last_i = pipe.num_timesteps - 1
          if i == last_i:
              callback_kwargs["latents"] = torch.zeros_like(
                  callback_kwargs["latents"]
              )
          return callback_kwargs
  
      inputs = self.get_dummy_inputs(torch_device)
      inputs["callback_on_step_end"] = callback_inputs_test
      inputs[
          "callback_on_step_end_tensor_inputs"
      ] = pipe._callback_tensor_inputs
      inputs["num_inference_steps"] = 2
      inputs["output_type"] = "pt"
  
      output = pipe(**inputs)[0]
      assert output.abs().sum() == 0
  
imports: import inspect
  import unittest
  import numpy
  import torch
  from torch import nn
  from transformers import CLIPImageProcessor, CLIPTextConfig, CLIPTextModelWithProjection, CLIPTokenizer, CLIPVisionConfig, CLIPVisionModelWithProjection
  from diffusers import KandinskyV22PriorPipeline, PriorTransformer, UnCLIPScheduler
  from diffusers.utils.testing_utils import enable_full_determinism, skip_mps, torch_device
  from ..test_pipelines_common import PipelineTesterMixin
label_desc: Use image node_id 6 for calling the KandinskyV22PriorPipelineFastTests obj's underlying member method code with example usage: obj.test_callback_inputs() and returns: callback_kwargs