code: def compare_pytorch(
      self, *args, block_ratio=10, msg=None, tol=TOLERANCE, **kwargs
  ):
      y_ref = F.conv1d(*args, **kwargs)
      y = julius.fft_conv1d(*args, block_ratio=block_ratio, **kwargs)
      self.assertEqual(list(y.shape), list(y_ref.shape), msg)
      self.assertSimilar(y, y_ref, msg, tol)
  
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 3 for calling the _BaseTest obj's underlying member method code with example usage: obj.compare_pytorch() without return types