code: def create_and_check_model_fp16_forward(
      self,
      config,
      input_ids,
      decoder_input_ids,
      attention_mask,
      decoder_attention_mask,
      lm_labels,
  ):
      model = (
          Pop2PianoForConditionalGeneration(config=config)
          .to(torch_device)
          .half()
          .eval()
      )
      output = model(
          input_ids,
          decoder_input_ids=input_ids,
          attention_mask=attention_mask,
      )["encoder_last_hidden_state"]
      self.parent.assertFalse(torch.isnan(output).any().item())
  
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 12 for calling the Pop2PianoModelTester obj's underlying member method code with example usage: obj.create_and_check_model_fp16_forward(config, input_ids, decoder_input_ids, attention_mask, decoder_attention_mask, lm_labels) without return types