code: def create_and_check_gptj_lm_head_model(
      self,
      config,
      input_ids,
      input_mask,
      head_mask,
      token_type_ids,
      *args,
  ):
      model = TFGPTJForCausalLM(config=config)
      inputs = {
          "input_ids": input_ids,
          "attention_mask": input_mask,
          "token_type_ids": token_type_ids,
      }
      result = model(inputs)
      self.parent.assertEqual(
          result.logits.shape,
          (self.batch_size, self.seq_length, self.vocab_size),
      )
  
imports: import unittest
  from transformers import AutoTokenizer, GPTJConfig, is_tf_available
  from transformers.testing_utils import require_tf, slow, tooslow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_attention_mask
  from ...utils.test_modeling_tf_core import TFCoreModelTesterMixin
label_desc: Use image node_id 7 for calling the TFGPTJModelTester obj's underlying member method code with example usage: obj.create_and_check_gptj_lm_head_model(config, input_ids, input_mask, head_mask, token_type_ids) without return types