code: def lowpass_filter(
      input: torch.Tensor,
      cutoff: float,
      stride: int = 1,
      pad: bool = True,
      zeros: float = 8,
      fft: Optional[bool] = None,
  ):
      """
      Same as `lowpass_filters` but with a single cutoff frequency.
      Output will not have a dimension inserted in the front.
      """
      return lowpass_filters(input, [cutoff], stride, pad, zeros, fft)[
          0
      ]
  
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 2 for calling a global function with example usage: lowpass_filter(input, cutoff, stride, pad, zeros, fft) and returns: lowpass_filters