code: def get_dummy_components(self):
      torch.manual_seed(0)
      notes_encoder = SpectrogramNotesEncoder(
          max_length=2048,
          vocab_size=1536,
          d_model=768,
          dropout_rate=0.1,
          num_layers=1,
          num_heads=1,
          d_kv=4,
          d_ff=2048,
          feed_forward_proj="gated-gelu",
      )
  
      continuous_encoder = SpectrogramContEncoder(
          input_dims=128,
          targets_context_length=256,
          d_model=768,
          dropout_rate=0.1,
          num_layers=1,
          num_heads=1,
          d_kv=4,
          d_ff=2048,
          feed_forward_proj="gated-gelu",
      )
  
      decoder = T5FilmDecoder(
          input_dims=128,
          targets_length=256,
          max_decoder_noise_time=20000.0,
          d_model=768,
          num_layers=1,
          num_heads=1,
          d_kv=4,
          d_ff=2048,
          dropout_rate=0.1,
      )
  
      scheduler = DDPMScheduler()
  
      components = {
          "notes_encoder": notes_encoder.eval(),
          "continuous_encoder": continuous_encoder.eval(),
          "decoder": decoder.eval(),
          "scheduler": scheduler,
          "melgan": None,
      }
      return components
  
imports: import gc
  import unittest
  import numpy
  import torch
  from diffusers import DDPMScheduler, MidiProcessor, SpectrogramDiffusionPipeline
  from diffusers.pipelines.spectrogram_diffusion import SpectrogramContEncoder, SpectrogramNotesEncoder, T5FilmDecoder
  from diffusers.utils.testing_utils import enable_full_determinism, nightly, require_note_seq, require_onnxruntime, require_torch_gpu, skip_mps, torch_device
  from ..pipeline_params import TOKENS_TO_AUDIO_GENERATION_BATCH_PARAMS, TOKENS_TO_AUDIO_GENERATION_PARAMS
  from ..test_pipelines_common import PipelineTesterMixin
label_desc: Use image node_id 1 for calling the SpectrogramDiffusionPipelineFastTests obj's underlying member method code with example usage: obj.get_dummy_components() and returns: components