code: def test_convolve(self, cls, mode):
      leading_dims = (4, 3, 2)
      L_x, L_y = 23, 40
      x = torch.rand(*leading_dims, L_x)
      y = torch.rand(*leading_dims, L_y)
      convolve = getattr(T, cls)(mode=mode)
      self.assert_grad(convolve, [x, y])
  
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 26 for calling the AutogradTestMixin obj's underlying member method code with example usage: obj.test_convolve(cls, mode) without return types