code: def load_noise_schedule(self, path):
      beta = np.load(path, allow_pickle=True).item()["beta"]
      self.compute_noise_level(beta)
  
file_path: TTS/TTS/vocoder/models/wavegrad.py
imports: import numpy
  import torch
  from torch import nn
  from torch.nn.utils import weight_norm
  from ..layers.wavegrad import DBlock, FiLM, UBlock, Conv1d
label_desc: Use image node_id 3 for calling the Wavegrad obj's underlying member method code with example usage: obj.load_noise_schedule(path) without return types