code: def test_seq_len(self):
      fb_module = FilterbankFeatures(exact_pad=False, pad_to=1)
      test_1 = torch.randn(1, 800)
      test_1_len = torch.tensor([800])
      fb_spec, fb_len = fb_module(test_1, test_1_len)
      assert (
          fb_spec.shape[2] == fb_len[0]
      ), f"{fb_spec.shape} != {fb_len}"
      librosa_spec = librosa.stft(
          test_1.cpu().detach().numpy().squeeze(),
          n_fft=512,
          hop_length=160,
          win_length=320,
      )
  
      assert (
          librosa_spec.shape[1] == fb_spec.shape[2]
      ), f"{librosa_spec.shape} != {fb_spec.shape}"
  
file_path: NeMo/tests/collections/asr/test_asr_filterbankfeatures_seq_len.py
imports: import librosa
  import numpy
  import pytest
  import torch
  from nemo.collections.asr.parts.preprocessing.features import FilterbankFeatures
label_desc: Use image node_id 1 for calling the TestFilterbankFeatures obj's underlying member method code with example usage: obj.test_seq_len() without return types