code: def wpe(
      Y: Union[torch.Tensor, ComplexTensor],
      taps=10,
      delay=3,
      iterations=3,
  ) -> Union[torch.Tensor, ComplexTensor]:
      """WPE
  
      Args:
          Y: Complex valued STFT signal with shape (F, C, T)
          taps: Number of filter taps
          delay: Delay as a guard interval, such that X does not become zero.
          iterations:
  
      Returns:
          enhanced: (F, C, T)
  
      """
      enhanced = Y
      for _ in range(iterations):
          power = get_power(enhanced)
          enhanced = wpe_one_iteration(Y, power, taps=taps, delay=delay)
      return enhanced
  
file_path: espnet/espnet2/enh/layers/wpe.py
imports: from typing import Tuple, Union
  import torch
  import torch.nn.functional
  import torch_complex.functional
  from packaging.version import parse
  from torch_complex.tensor import ComplexTensor
  from espnet2.enh.layers.complex_utils import einsum, matmul, reverse
label_desc: Use image node_id 7 for calling a global function with example usage: wpe(Y, taps, delay, iterations) and returns: enhanced