code: def test_batch_shape(self, device, dtype):
      bs, h, w = 2, 32, 15
      inp = torch.rand(bs, 1, h, w, device=device, dtype=dtype)
      sift = DenseSIFTDescriptor().to(device, dtype)
      out = sift(inp)
      assert out.shape == torch.Size([bs, 128, h, w])
  
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 2 for calling the TestDenseSIFTDescriptor obj's underlying member method code with example usage: obj.test_batch_shape(device, dtype) without return types