code: def test_generate_fp16(self):
      config, input_dict = self.model_tester.prepare_config_and_inputs()
      input_features = input_dict["input_features"]
      attention_mask = input_dict["attention_mask"]
      model = (
          Speech2TextForConditionalGeneration(config)
          .eval()
          .to(torch_device)
      )
      if torch_device == "cuda":
          input_features = input_features.half()
          model.half()
      model.generate(input_features, attention_mask=attention_mask)
      model.generate(
          input_features,
          num_beams=4,
          do_sample=True,
          early_stopping=False,
          num_return_sequences=3,
      )
  
imports: import copy
  import inspect
  import os
  import tempfile
  import unittest
  from transformers import Speech2TextConfig
  from transformers.testing_utils import is_torch_available, require_sentencepiece, require_tokenizers, require_torch, require_torchaudio, slow, torch_device
  from transformers.utils import cached_property
  from ...generation.test_generation_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor, ids_tensor
label_desc: Use image node_id 10 for calling the Speech2TextModelTest obj's underlying member method code with example usage: obj.test_generate_fp16() without return types