code: def test_module(self):
      x = th.randn(16, 4, 1024)
      mod = julius.FFTConv1d(4, 5, 8, bias=True)
      mod(x)
      mod = julius.FFTConv1d(4, 5, 8, bias=False)
      mod(x)
  
file_path: julius/tests/test_fftconv.py
imports: import random
  import unittest
  import torch
  from torch.nn import functional
  import julius
label_desc: Use image node_id 4 for calling the TestFFTConv1d obj's underlying member method code with example usage: obj.test_module() without return types