code: def get_sift_bin_ksize_stride_pad(
      patch_size: int, num_spatial_bins: int
  ) -> Tuple[int, int, int]:
      r"""Return a tuple with SIFT parameters.
  
      Args:
          patch_size: the given patch size.
          num_spatial_bins: the ggiven number of spatial bins.
  
      Returns:
          ksize, stride, pad.
      """
      ksize: int = 2 * int(patch_size / (num_spatial_bins + 1))
      stride: int = patch_size // num_spatial_bins
      pad: int = ksize // 4
      out_size: int = (
          patch_size + 2 * pad - (ksize - 1) - 1
      ) // stride + 1
      if out_size != num_spatial_bins:
          raise ValueError(
              f"Patch size {patch_size} is incompatible with             requested number of spatial bins"
              f" {num_spatial_bins}             for SIFT descriptor. Usually it happens when patch size is too small     "
              "       for num_spatial_bins specified"
          )
      return ksize, stride, pad
  
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 3 for calling a global function with example usage: get_sift_bin_ksize_stride_pad(patch_size, num_spatial_bins) and returns: ksize,  stride,  pad