code: def prepare_config_and_inputs_for_keras_fit(self):
      config_and_inputs = self.prepare_config_and_inputs()
      config, pixel_values, _, _ = config_and_inputs
      inputs_dict = {
          "pixel_values": pixel_values,
          "labels": tf.zeros((self.batch_size)),
      }
      return config, inputs_dict
  
imports: from __future__ import annotations
  import collections.abc
  import inspect
  import unittest
  import numpy
  from transformers import Data2VecVisionConfig
  from transformers.file_utils import cached_property, is_tf_available, is_vision_available
  from transformers.testing_utils import require_tf, require_vision, slow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 8 for calling the TFData2VecVisionModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs_for_keras_fit() and returns: config,  inputs_dict