code: def frequency_impulse_response(magnitudes):
      """Create filter from desired frequency response
  
      Args:
          magnitudes: The desired frequency responses. Shape: `(..., num_fft_bins)`
  
      Returns:
          Tensor: Impulse response. Shape `(..., 2 * (num_fft_bins - 1))`
      """
      if magnitudes.min() < 0.0:
          # Negative magnitude does not make sense but allowing so that autograd works
          # around 0.
          # Should we raise error?
          warnings.warn(
              "The input frequency response should not contain negative values."
          )
      ir = torch.fft.fftshift(torch.fft.irfft(magnitudes), dim=-1)
      device, dtype = magnitudes.device, magnitudes.dtype
      window = torch.hann_window(
          ir.size(-1), periodic=False, device=device, dtype=dtype
      ).expand_as(ir)
      return ir * window
  
file_path: audio/src/torchaudio/prototype/functional/_dsp.py
imports: import warnings
  from typing import List, Optional, Union
  import torch
  from torchaudio.functional import fftconvolve
label_desc: Use image node_id 5 for calling a global function with example usage: frequency_impulse_response(magnitudes) and returns: unknown