code: def test_gev_phase_correction():
      mat = ComplexTensor(torch.rand(2, 3, 4), torch.rand(2, 3, 4))
      mat_th = torch.complex(mat.real, mat.imag)
      norm = gev_phase_correction(mat)
      norm_th = gev_phase_correction(mat_th)
      assert np.allclose(norm.numpy(), norm_th.numpy())
  
file_path: espnet/test/espnet2/enh/layers/test_enh_layers.py
imports: import numpy
  import pytest
  import torch
  import torch_complex.functional
  from packaging.version import parse
  from torch_complex.tensor import ComplexTensor
  from espnet2.enh.layers.beamformer import generalized_eigenvalue_decomposition, get_rtf, gev_phase_correction, signal_framing
  from espnet2.enh.layers.complex_utils import solve
  from espnet2.layers.stft import Stft
label_desc: Use image node_id 4 for calling a global function with example usage: test_gev_phase_correction() without return types