code: def test_same(self, device, dtype):
      B, C, H, W = 1, 3, 64, 64
      PS = 16
      img = torch.rand(B, C, H, W, device=device, dtype=dtype)
      img_gray = kornia.color.rgb_to_grayscale(img)
      centers = torch.tensor(
          [[H / 3.0, W / 3.0], [2.0 * H / 3.0, W / 2.0]],
          device=device,
          dtype=dtype,
      ).view(1, 2, 2)
      scales = torch.tensor(
          [(H + W) / 4.0, (H + W) / 8.0], device=device, dtype=dtype
      ).view(1, 2, 1, 1)
      ori = torch.tensor([0.0, 30.0], device=device, dtype=dtype).view(
          1, 2, 1
      )
      lafs = kornia.feature.laf_from_center_scale_ori(
          centers, scales, ori
      )
      sift = SIFTDescriptor(PS).to(device, dtype)
      descs_test_from_rgb = get_laf_descriptors(
          img, lafs, sift, PS, True
      )
      descs_test_from_gray = get_laf_descriptors(
          img_gray, lafs, sift, PS, True
      )
  
      patches = extract_patches_from_pyramid(img_gray, lafs, PS)
      B1, N1, CH1, H1, W1 = patches.size()
      # Descriptor accepts standard tensor [B, CH, H, W], while patches are [B, N, CH, H, W] shape
      # So we need to reshape a bit :)
      descs_reference = sift(patches.view(B1 * N1, CH1, H1, W1)).view(
          B1, N1, -1
      )
      assert_close(descs_test_from_rgb, descs_reference)
      assert_close(descs_test_from_gray, descs_reference)
  
imports: import sys
  import pytest
  import torch
  from torch import nn
  from torch.autograd import gradcheck
  import kornia
  import kornia.testing
  from kornia.feature import DescriptorMatcher, GFTTAffNetHardNet, KeyNetHardNet, LAFDescriptor, LocalFeature, ScaleSpaceDetector, SIFTDescriptor, SIFTFeature, extract_patches_from_pyramid, get_laf_center, get_laf_descriptors, get_laf_orientation, get_laf_scale
  from kornia.feature.integrated import LocalFeatureMatcher
  from kornia.geometry import RANSAC, resize, transform_points
  from kornia.testing import assert_close
  from kornia.utils._compat import torch_version_le
label_desc: Use image node_id 1 for calling the TestGetLAFDescriptors obj's underlying member method code with example usage: obj.test_same(device, dtype) without return types