code: def test_to_dtype(self):
      components = self.get_dummy_components()
      pipe = self.pipeline_class(**components)
      pipe.set_progress_bar_config(disable=None)
  
      # The method component.dtype returns the dtype of the first parameter registered in the model, not the
      # dtype of the entire model. In the case of CLAP, the first parameter is a float64 constant (logit scale)
      model_dtypes = {
          key: component.dtype
          for key, component in components.items()
          if hasattr(component, "dtype")
      }
  
      # Without the logit scale parameters, everything is float32
      model_dtypes.pop("text_encoder")
      self.assertTrue(
          all(dtype == torch.float32 for dtype in model_dtypes.values())
      )
  
      # the CLAP sub-models are float32
      model_dtypes["clap_text_branch"] = components[
          "text_encoder"
      ].text_model.dtype
      self.assertTrue(
          all(dtype == torch.float32 for dtype in model_dtypes.values())
      )
  
      # Once we send to fp16, all params are in half-precision, including the logit scale
      pipe.to(torch_dtype=torch.float16)
      model_dtypes = {
          key: component.dtype
          for key, component in components.items()
          if hasattr(component, "dtype")
      }
      self.assertTrue(
          all(dtype == torch.float16 for dtype in model_dtypes.values())
      )
  
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 16 for calling the AudioLDM2PipelineFastTests obj's underlying member method code with example usage: obj.test_to_dtype() without return types