code: def test_nomatch(self, device, dtype, data):
      matcher = LocalFeatureMatcher(
          GFTTAffNetHardNet(100), DescriptorMatcher("snn", 0.8)
      ).to(device, dtype)
      data_dev = utils.dict_to(data, device, dtype)
      with torch.no_grad():
          out = matcher(
              {
                  "image0": data_dev["image0"],
                  "image1": 0 * data_dev["image0"],
              }
          )
      assert len(out["keypoints0"]) == 0
  
imports: import sys
  import pytest
  import torch
  from torch import nn
  from torch.autograd import gradcheck
  import kornia
  import kornia.testing
  from kornia.feature import DescriptorMatcher, GFTTAffNetHardNet, KeyNetHardNet, LAFDescriptor, LocalFeature, ScaleSpaceDetector, SIFTDescriptor, SIFTFeature, extract_patches_from_pyramid, get_laf_center, get_laf_descriptors, get_laf_orientation, get_laf_scale
  from kornia.feature.integrated import LocalFeatureMatcher
  from kornia.geometry import RANSAC, resize, transform_points
  from kornia.testing import assert_close
  from kornia.utils._compat import torch_version_le
label_desc: Use image node_id 2 for calling the TestLocalFeatureMatcher obj's underlying member method code with example usage: obj.test_nomatch(device, dtype, data) without return types