code: def test_gpt2_sample_max_time(self):
      tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
      model = GPT2LMHeadModel.from_pretrained("gpt2")
      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)
  
      MAX_TIME = 0.5
  
      start = datetime.datetime.now()
      model.generate(
          input_ids, do_sample=True, max_time=MAX_TIME, max_length=256
      )
      duration = datetime.datetime.now() - start
      self.assertGreater(duration, datetime.timedelta(seconds=MAX_TIME))
      self.assertLess(
          duration, datetime.timedelta(seconds=1.5 * MAX_TIME)
      )
  
      start = datetime.datetime.now()
      model.generate(
          input_ids, do_sample=False, max_time=MAX_TIME, max_length=256
      )
      duration = datetime.datetime.now() - start
      self.assertGreater(duration, datetime.timedelta(seconds=MAX_TIME))
      self.assertLess(
          duration, datetime.timedelta(seconds=1.5 * MAX_TIME)
      )
  
      start = datetime.datetime.now()
      model.generate(
          input_ids,
          do_sample=False,
          num_beams=2,
          max_time=MAX_TIME,
          max_length=256,
      )
      duration = datetime.datetime.now() - start
      self.assertGreater(duration, datetime.timedelta(seconds=MAX_TIME))
      self.assertLess(
          duration, datetime.timedelta(seconds=1.5 * MAX_TIME)
      )
  
      start = datetime.datetime.now()
      model.generate(
          input_ids,
          do_sample=True,
          num_beams=2,
          max_time=MAX_TIME,
          max_length=256,
      )
      duration = datetime.datetime.now() - start
      self.assertGreater(duration, datetime.timedelta(seconds=MAX_TIME))
      self.assertLess(
          duration, datetime.timedelta(seconds=1.5 * MAX_TIME)
      )
  
      start = datetime.datetime.now()
      model.generate(
          input_ids, do_sample=False, max_time=None, max_length=256
      )
      duration = datetime.datetime.now() - start
      self.assertGreater(
          duration, datetime.timedelta(seconds=1.5 * MAX_TIME)
      )
  
imports: import datetime
  import gc
  import math
  import unittest
  from transformers import GPT2Config, is_torch_available
  from transformers.testing_utils import backend_empty_cache, require_torch, slow, torch_device
  from ...generation.test_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 8 for calling the GPT2ModelLanguageGenerationTest obj's underlying member method code with example usage: obj.test_gpt2_sample_max_time() without return types