code: def test_batch_shape_custom(self, device, dtype):
      bs, h, w = 2, 40, 30
      inp = torch.rand(bs, 1, h, w, device=device, dtype=dtype)
      sift = DenseSIFTDescriptor(5, 3, 3, padding=1, stride=2).to(
          device, dtype
      )
      out = sift(inp)
      assert out.shape == torch.Size([bs, 45, h // 2, w // 2])
  
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 3 for calling the TestDenseSIFTDescriptor obj's underlying member method code with example usage: obj.test_batch_shape_custom(device, dtype) without return types