code: def test_gptj_sample(self):
      # Marked as @tooslow due to GPU OOM (issue #13676)
      tokenizer = AutoTokenizer.from_pretrained(
          "EleutherAI/gpt-j-6B", revision="float16"
      )
      model = GPTJForCausalLM.from_pretrained(
          "EleutherAI/gpt-j-6B",
          revision="float16",
          torch_dtype=torch.float16,
      )
      model.to(torch_device)
  
      torch.manual_seed(0)
      tokenized = tokenizer(
          "Today is a nice day and",
          return_tensors="pt",
          return_token_type_ids=True,
      )
      input_ids = tokenized.input_ids.to(torch_device)
      output_ids = model.generate(input_ids, do_sample=True)
      output_str = tokenizer.decode(
          output_ids[0], skip_special_tokens=True
      )
  
      token_type_ids = tokenized.token_type_ids.to(torch_device)
      output_seq = model.generate(
          input_ids=input_ids, do_sample=True, num_return_sequences=5
      )
      output_seq_tt = model.generate(
          input_ids=input_ids,
          token_type_ids=token_type_ids,
          do_sample=True,
          num_return_sequences=5,
      )
      output_seq_strs = tokenizer.batch_decode(
          output_seq, skip_special_tokens=True
      )
      output_seq_tt_strs = tokenizer.batch_decode(
          output_seq_tt, skip_special_tokens=True
      )
  
      if torch_device == "cuda":
          EXPECTED_OUTPUT_STR = "Today is a nice day and I've already been enjoying it. I walked to work with my wife"
      else:
          EXPECTED_OUTPUT_STR = "Today is a nice day and one of those days that feels a bit more alive. I am ready"
  
      self.assertEqual(output_str, EXPECTED_OUTPUT_STR)
      self.assertTrue(
          all(
              [
                  output_seq_strs[idx] != output_seq_tt_strs[idx]
                  for idx in range(len(output_seq_tt_strs))
              ]
          )
      )
  
imports: import datetime
  import unittest
  from transformers import GPTJConfig, is_torch_available
  from transformers.testing_utils import require_torch, slow, tooslow, torch_device
  from ...generation.test_generation_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
label_desc: Use image node_id 2 for calling the GPTJModelLanguageGenerationTest obj's underlying member method code with example usage: obj.test_gptj_sample() without return types