code: def test_gpt_neo_sample(self):
      model = self.model
      tokenizer = self.tokenizer
  
      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
      )
  
      EXPECTED_OUTPUT_STR = "Today is a nice day and if you don’t get the memo here is what you can"
      self.assertEqual(output_str, EXPECTED_OUTPUT_STR)
  
imports: import unittest
  from transformers import GPTNeoConfig, is_torch_available
  from transformers.testing_utils import require_torch, slow, torch_device
  from transformers.utils import cached_property
  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 4 for calling the GPTNeoModelLanguageGenerationTest obj's underlying member method code with example usage: obj.test_gpt_neo_sample() without return types