code: def test_seeds_fail(self, device, dtype, data):
      torch.random.manual_seed(0)
      # This is not unit test, but that is quite good integration test
      data_dev = utils.dict_to(data, device, dtype)
      with torch.no_grad():
          dists, idxs = match_adalam(
              data_dev["descs1"][:100],
              data_dev["descs2"][:100],
              data_dev["lafs1"][:, :100],
              data_dev["lafs2"][:, :100],
          )
  
imports: import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia.testing
  from kornia.feature.integrated import LightGlueMatcher
  from kornia.feature.laf import laf_from_center_scale_ori
  from kornia.feature.matching import DescriptorMatcher, GeometryAwareDescriptorMatcher, match_adalam, match_fginn, match_mnn, match_nn, match_smnn, match_snn
  from kornia.testing import assert_close
label_desc: Use image node_id 6 for calling the TestAdalam obj's underlying member method code with example usage: obj.test_seeds_fail(device, dtype, data) without return types