code: def test_toy(self, device, dtype):
      patch = torch.ones(1, 1, 6, 6, device=device, dtype=dtype)
      patch[0, 0, :, 3:] = 0
      sift = SIFTDescriptor(
          6,
          num_ang_bins=4,
          num_spatial_bins=1,
          clipval=0.2,
          rootsift=False,
      ).to(device, dtype)
      out = sift(patch)
      expected = torch.tensor(
          [[0, 0, 1.0, 0]], device=device, dtype=dtype
      )
      assert_close(out, expected, atol=1e-3, rtol=1e-3)
  
imports: import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia.testing
  from kornia.feature.siftdesc import DenseSIFTDescriptor, SIFTDescriptor, get_sift_bin_ksize_stride_pad, get_sift_pooling_kernel
  from kornia.testing import assert_close
label_desc: Use image node_id 4 for calling the TestSIFTDescriptor obj's underlying member method code with example usage: obj.test_toy(device, dtype) without return types