code: def np_array(tensor):
      """Convert a Pytorch tensor to a Numpy array."""
      tensor = tensor.squeeze(0)
      tensor = tensor.detach().cpu()
      return tensor.numpy()
  
imports: import sys
  import logging
  import time
  import random
  import itertools
  import pathlib
  import joblib
  import torch
  import torchaudio
  import tqdm
  import numpy
  from sklearn.cluster import MiniBatchKMeans
  from hyperpyyaml import load_hyperpyyaml
  import speechbrain
  from ljspeech_prepare import prepare_ljspeech
  from speechbrain.lobes.models.huggingface_wav2vec import HuggingFaceWav2Vec2
label_desc: Use image node_id 3 for calling a global function with example usage: np_array(tensor) and returns: tensor