code: def test_generate_fp16(self):
      config, input_dict = self.model_tester.prepare_config_and_inputs()
      input_dict.pop("decoder_attention_mask")
      input_dict.pop("decoder_input_ids")
      model = (
          BigBirdPegasusForConditionalGeneration(config)
          .eval()
          .to(torch_device)
      )
      if torch_device == "cuda":
          model.half()
      model.generate(**input_dict)
      model.generate(
          **input_dict,
          do_sample=True,
          early_stopping=False,
          num_return_sequences=3,
      )
  
imports: import copy
  import tempfile
  import unittest
  from transformers import BigBirdPegasusConfig, is_torch_available
  from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
  from ...generation.test_generation_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor
label_desc: Use image node_id 11 for calling the BigBirdPegasusModelTest obj's underlying member method code with example usage: obj.test_generate_fp16() without return types