code: def test_mel_conditioner_integration(self):
      composer = "composer1"
      model = Pop2PianoForConditionalGeneration.from_pretrained(
          "sweetcocoa/pop2piano"
      )
      input_embeds = torch.ones([10, 100, 512])
  
      composer_value = (
          model.generation_config.composer_to_feature_token[composer]
      )
      composer_value = torch.tensor(composer_value)
      composer_value = composer_value.repeat(input_embeds.size(0))
      outputs = model.mel_conditioner(
          input_embeds,
          composer_value,
          min(
              model.generation_config.composer_to_feature_token.values()
          ),
      )
  
      # check shape
      self.assertEqual(outputs.size(), torch.Size([10, 101, 512]))
  
      # check values
      EXPECTED_OUTPUTS = torch.tensor(
          [
              [
                  1.0475305318832397,
                  0.29052114486694336,
                  -0.47778210043907166,
              ],
              [1.0, 1.0, 1.0],
              [1.0, 1.0, 1.0],
          ]
      )
  
      self.assertTrue(
          torch.allclose(
              outputs[0, :3, :3], EXPECTED_OUTPUTS, atol=1e-4
          )
      )
  
imports: import copy
  import tempfile
  import unittest
  import numpy
  from datasets import load_dataset
  from transformers import Pop2PianoConfig
  from transformers.feature_extraction_utils import BatchFeature
  from transformers.testing_utils import require_essentia, require_librosa, require_onnx, require_scipy, require_torch, slow, torch_device
  from transformers.utils import is_essentia_available, is_librosa_available, is_scipy_available, is_torch_available
  from ...generation.test_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 1 for calling the Pop2PianoModelIntegrationTests obj's underlying member method code with example usage: obj.test_mel_conditioner_integration() without return types