code: def gev_phase_correction(vector):
      """Phase correction to reduce distortions due to phase inconsistencies.
  
      ported from https://github.com/fgnt/nn-gev/blob/master/fgnt/beamforming.py#L169
  
      Args:
          vector: Beamforming vector with shape (..., F, C)
      Returns:
          w: Phase corrected beamforming vectors
      """
      B, F, C = vector.shape
      correction = torch.empty_like(vector.real)
      for f in range(F):
          correction[:, f, :] = torch.exp(
              (vector[:, f, :] * vector[:, f - 1, :].conj())
              .sum(dim=-1, keepdim=True)
              .angle()
          )
      if isinstance(vector, ComplexTensor):
          correction = ComplexTensor(
              torch.cos(correction), -torch.sin(correction)
          )
      else:
          correction = torch.exp(-1j * correction)
      return vector * correction
  
imports: from typing import List, Union
  import torch
  from packaging.version import parse
  from torch_complex import functional
  from torch_complex.tensor import ComplexTensor
  from espnet2.enh.layers.complex_utils import cat, complex_norm, einsum, inverse, is_complex, is_torch_complex_tensor, matmul, reverse, solve, to_double
label_desc: Use image node_id 13 for calling a global function with example usage: gev_phase_correction(vector) and returns: unknown