code: def amp_to_impulse_response(amp, target_size):
      amp = torch.stack([amp, torch.zeros_like(amp)], -1)
      amp = torch.view_as_complex(amp)
      amp = fft.irfft(amp)
  
      filter_size = amp.shape[-1]
  
      amp = torch.roll(amp, filter_size // 2, -1)
      win = torch.hann_window(
          filter_size, dtype=amp.dtype, device=amp.device
      )
  
      amp = amp * win
  
      amp = nn.functional.pad(
          amp, (0, int(target_size) - int(filter_size))
      )
      amp = torch.roll(amp, -filter_size // 2, -1)
  
      return amp
  
imports: import math
  import librosa
  import numpy
  import torch
  import torch.fft
  import torch.nn
  from scipy.signal import get_window
label_desc: Use image node_id 13 for calling a global function with example usage: amp_to_impulse_response(amp, target_size) and returns: amp