code: def test_small_input(self):
      x = th.randn(1, 5, 19)
      w = th.randn(10, 5, 32)
      with self.assertRaises(RuntimeError):
          julius.fft_conv1d(x, w)
  
      x = th.randn(1, 5, 19)
      w = th.randn(10, 5, 19)
      self.assertEqual(list(julius.fft_conv1d(x, w).shape), [1, 10, 1])
  
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 2 for calling the TestFFTConv1d obj's underlying member method code with example usage: obj.test_small_input() without return types