code: def test_batch_shape_non_std(self, device, dtype):
      inp = torch.ones(3, 1, 19, 19, device=device, dtype=dtype)
      sift = SIFTDescriptor(19, 5, 3).to(device, dtype)
      out = sift(inp)
      assert out.shape == (3, (3**2) * 5)
  
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 TestSIFTDescriptor obj's underlying member method code with example usage: obj.test_batch_shape_non_std(device, dtype) without return types