code: def test_generate_fp16(self):
      config, input_dict = self.model_tester.prepare_config_and_inputs()
      config.max_target_positions = 400
      input_features = input_dict["input_features"]
      model = TFWhisperForConditionalGeneration(config)
      model.generate(input_features)
      model.generate(
          input_features,
          num_beams=4,
          do_sample=True,
          early_stopping=False,
          num_return_sequences=3,
      )
  
imports: import inspect
  import os
  import tempfile
  import traceback
  import unittest
  import numpy
  from transformers import WhisperConfig, WhisperFeatureExtractor, WhisperProcessor
  from transformers.testing_utils import is_tf_available, require_tf, require_tokenizers, run_test_in_subprocess, slow
  from transformers.utils import cached_property
  from transformers.utils.import_utils import is_datasets_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor
label_desc: Use image node_id 10 for calling the TFWhisperModelTest obj's underlying member method code with example usage: obj.test_generate_fp16() without return types