code: def test_add_noise(self, use_lengths):
      leading_dims = (2, 3)
      L = 31
  
      waveform = torch.rand(*leading_dims, L)
      noise = torch.rand(*leading_dims, L)
      if use_lengths:
          lengths = torch.rand(*leading_dims)
      else:
          lengths = None
      snr = torch.rand(*leading_dims)
  
      add_noise = T.AddNoise()
      self.assert_grad(add_noise, (waveform, noise, snr, lengths))
  
imports: import unittest
  from typing import List
  import torch
  import torchaudio.transforms
  from parameterized import parameterized
  from torch.autograd import gradcheck, gradgradcheck
  from torchaudio_unittest.common_utils import get_spectrogram, get_whitenoise, nested_params, rnnt_utils, TestBaseMixin
label_desc: Use image node_id 29 for calling the AutogradTestMixin obj's underlying member method code with example usage: obj.test_add_noise(use_lengths) without return types