code: def test_runbatch(self, device):
      patches = torch.rand(34, 1, 32, 32)
      sift = kornia.feature.SIFTDescriptor(32)
      desc_batched = kornia.utils.memory.batched_forward(
          sift, patches, device, 32
      )
      desc = sift(patches)
      assert torch.allclose(desc, desc_batched)
  
file_path: kornia/test/utils/test_memory.py
imports: import torch
  from torch.autograd import gradcheck
  import kornia
  import kornia.testing
label_desc: Use image node_id 1 for calling the TestBatchedForward obj's underlying member method code with example usage: obj.test_runbatch(device) without return types