code: def test_shape(self, device, dtype):
      inp = torch.ones(1, 1, 32, 32, device=device, dtype=dtype)
      sift = SIFTDescriptor(32).to(device, dtype)
      out = sift(inp)
      assert out.shape == (1, 128)
  
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 1 for calling the TestSIFTDescriptor obj's underlying member method code with example usage: obj.test_shape(device, dtype) without return types