code: def test_speed(self):
      leading_dims = (3, 2)
      time = 200
  
      waveform = torch.rand(*leading_dims, time, requires_grad=True)
      lengths = torch.randint(1, time, leading_dims)
      speed = T.Speed(1000, 1.1)
      self.assert_grad(
          speed, (waveform, lengths), enable_all_grad=False
      )
  
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 27 for calling the AutogradTestMixin obj's underlying member method code with example usage: obj.test_speed() without return types