code: def test_inverse_identity(stats_file, norm_vars, norm_means):
      layer = GlobalMVN(
          stats_file, norm_means=norm_means, norm_vars=norm_vars
      )
      x = torch.randn(2, 3, 80)
      y, _ = layer(x)
      x2, _ = layer.inverse(y)
      np.testing.assert_allclose(x.numpy(), x2.numpy())
  
file_path: espnet/test/espnet2/layers/test_global_mvn.py
imports: from pathlib import Path
  import numpy
  import pytest
  import torch
  from espnet2.layers.global_mvn import GlobalMVN
label_desc: Use image node_id 8 for calling a global function with example usage: test_inverse_identity(stats_file, norm_vars, norm_means) without return types