code: def lowpass_filters(
      input: torch.Tensor,
      cutoffs: Sequence[float],
      stride: int = 1,
      pad: bool = True,
      zeros: float = 8,
      fft: Optional[bool] = None,
  ):
      """
      Functional version of `LowPassFilters`, refer to this class for more information.
      """
      return LowPassFilters(cutoffs, stride, pad, zeros, fft).to(input)(
          input
      )
  
imports: import math
  from typing import Sequence, Optional
  import torch
  from torch.nn import functional
  from .core import sinc
  from .fftconv import fft_conv1d
  from .utils import simple_repr
label_desc: Use image node_id 1 for calling a global function with example usage: lowpass_filters(input, cutoffs, stride, pad, zeros, fft) and returns: LowPassFilters