code: def test_audioldm2_audio_length_in_s(self):
      device = "cpu"  # ensure determinism for the device-dependent torch.Generator
      components = self.get_dummy_components()
      audioldm_pipe = AudioLDM2Pipeline(**components)
      audioldm_pipe = audioldm_pipe.to(torch_device)
      audioldm_pipe.set_progress_bar_config(disable=None)
      vocoder_sampling_rate = audioldm_pipe.vocoder.config.sampling_rate
  
      inputs = self.get_dummy_inputs(device)
      output = audioldm_pipe(audio_length_in_s=0.016, **inputs)
      audio = output.audios[0]
  
      assert audio.ndim == 1
      assert len(audio) / vocoder_sampling_rate == 0.016
  
      output = audioldm_pipe(audio_length_in_s=0.032, **inputs)
      audio = output.audios[0]
  
      assert audio.ndim == 1
      assert len(audio) / vocoder_sampling_rate == 0.032
  
imports: import gc
  import unittest
  import numpy
  import torch
  from transformers import ClapAudioConfig, ClapConfig, ClapFeatureExtractor, ClapModel, ClapTextConfig, GPT2Config, GPT2Model, RobertaTokenizer, SpeechT5HifiGan, SpeechT5HifiGanConfig, T5Config, T5EncoderModel, T5Tokenizer
  from diffusers import AudioLDM2Pipeline, AudioLDM2ProjectionModel, AudioLDM2UNet2DConditionModel, AutoencoderKL, DDIMScheduler, LMSDiscreteScheduler, PNDMScheduler
  from diffusers.utils.testing_utils import enable_full_determinism, nightly, torch_device
  from ..pipeline_params import TEXT_TO_AUDIO_BATCH_PARAMS, TEXT_TO_AUDIO_PARAMS
  from ..test_pipelines_common import PipelineTesterMixin
label_desc: Use image node_id 8 for calling the AudioLDM2PipelineFastTests obj's underlying member method code with example usage: obj.test_audioldm2_audio_length_in_s() without return types