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