code: def test_frontend_output_size():
      frontend = S3prlFrontend(
          fs=16000,
          frontend_conf=dict(upstream="mel"),
          download_dir="./hub",
      )
  
      wavs = torch.randn(2, 1600)
      lengths = torch.LongTensor([1600, 1600])
      feats, _ = frontend(wavs, lengths)
      assert feats.shape[-1] == frontend.output_size()
  
imports: import pytest
  import torch
  from packaging.version import parse
  from espnet2.asr.frontend.s3prl import S3prlFrontend
label_desc: Use image node_id 2 for calling a global function with example usage: test_frontend_output_size() without return types