code: def sift_describe(
      input: Tensor,
      patch_size: int = 41,
      num_ang_bins: int = 8,
      num_spatial_bins: int = 4,
      rootsift: bool = True,
      clipval: float = 0.2,
  ) -> Tensor:
      r"""Computes the sift descriptor.
  
      See
      :class: `~kornia.feature.SIFTDescriptor` for details.
      """
      return SIFTDescriptor(
          patch_size, num_ang_bins, num_spatial_bins, rootsift, clipval
      )(input)
  
imports: import math
  from typing import Tuple
  import torch
  from torch import nn
  from kornia.core import Module, Tensor, concatenate, eye, normalize
  from kornia.core.check import KORNIA_CHECK_SHAPE
  from kornia.filters import get_gaussian_kernel2d, spatial_gradient
  from kornia.geometry.conversions import pi
label_desc: Use image node_id 4 for calling a global function with example usage: sift_describe(input, patch_size, num_ang_bins, num_spatial_bins, rootsift, clipval) and returns: SIFTDescriptor