code: def test_inference_question_answering_head_conversational(self):
      # note that google/tapas-base-finetuned-sqa should correspond to tapas_sqa_inter_masklm_base_reset
      model = TFTapasForQuestionAnswering.from_pretrained(
          "google/tapas-base-finetuned-sqa"
      )
      tokenizer = self.default_tokenizer
      table, queries = prepare_tapas_single_inputs_for_inference()
      inputs = tokenizer(
          table=table, queries=queries, return_tensors="tf"
      )
      outputs = model(**inputs)
  
      # test the logits
      logits = outputs.logits
      expected_shape = tf.TensorShape([1, 21])
      tf.debugging.assert_equal(logits.shape, expected_shape)
  
      expected_slice = tf.constant(
          [
              [
                  -9997.274,
                  -9997.274,
                  -9997.274,
                  -9997.274,
                  -9997.274,
                  -9997.274,
                  -9997.274,
                  -9997.274,
                  -9997.274,
                  -16.262585,
                  -10004.089,
                  15.435196,
                  15.435196,
                  15.435196,
                  -9990.443,
                  -16.327433,
                  -16.327433,
                  -16.327433,
                  -16.327433,
                  -16.327433,
                  -10004.84,
              ]
          ]
      )
  
      tf.debugging.assert_near(logits, expected_slice, atol=0.015)
  
imports: from __future__ import annotations
  import copy
  import unittest
  import numpy
  import pandas
  from transformers import TF_MODEL_FOR_CAUSAL_LM_MAPPING, TF_MODEL_FOR_MASKED_LM_MAPPING, TF_MODEL_FOR_MULTIPLE_CHOICE_MAPPING, TF_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING, TF_MODEL_FOR_PRETRAINING_MAPPING, TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING, TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING, TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING, TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING, TapasConfig, TapasTokenizer, is_tf_available
  from transformers.models.auto import get_values
  from transformers.testing_utils import require_tensorflow_probability, require_tf, slow
  from transformers.utils import cached_property
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 4 for calling the TFTapasModelIntegrationTest obj's underlying member method code with example usage: obj.test_inference_question_answering_head_conversational() without return types