code: def compute_rmse(arr1, arr2):
      arr1_normalized = normalize(arr1)
      arr2_normalized = normalize(arr2)
      return np.sqrt(((arr1_normalized - arr2_normalized) ** 2).mean())
  
imports: import copy
  import inspect
  import os
  import tempfile
  import unittest
  from typing import Dict, List, Tuple
  import numpy
  from datasets import Audio, load_dataset
  from transformers import AutoProcessor, EncodecConfig
  from transformers.testing_utils import is_torch_available, require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 3 for calling a global function with example usage: compute_rmse(arr1, arr2) and returns: np