code: def test_model_various_embeddings(self):
      (
          config,
          input_ids,
          bbox,
          pixel_values,
          token_type_ids,
          input_mask,
          _,
          _,
      ) = self.model_tester.prepare_config_and_inputs()
      for type in ["absolute", "relative_key", "relative_key_query"]:
          config.position_embedding_type = type
          self.model_tester.create_and_check_model(
              config,
              input_ids,
              bbox,
              pixel_values,
              token_type_ids,
              input_mask,
          )
  
imports: from __future__ import annotations
  import copy
  import inspect
  import unittest
  import numpy
  from transformers import is_tf_available, is_vision_available
  from transformers.models.auto import get_values
  from transformers.testing_utils import require_tf, slow
  from transformers.utils import cached_property
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 7 for calling the TFLayoutLMv3ModelTest obj's underlying member method code with example usage: obj.test_model_various_embeddings() without return types