code: def test_cardinality(self, shape, device, dtype):
      num_classes = 10
      num_queries = 10
      config = RTDETRConfig(
          "resnet18d", num_classes, head_num_queries=num_queries
      )
      model = RTDETR.from_config(config).to(device, dtype).eval()
  
      images = torch.randn(shape, device=device, dtype=dtype)
      logits, boxes = model(images)
  
      assert logits.shape == (shape[0], num_queries, num_classes)
      assert boxes.shape == (shape[0], num_queries, 4)
  
imports: from functools import partial
  import pytest
  import torch
  from kornia.contrib.models.rt_detr.architecture.hgnetv2 import PPHGNetV2
  from kornia.contrib.models.rt_detr.architecture.hybrid_encoder import HybridEncoder, RepVggBlock
  from kornia.contrib.models.rt_detr.architecture.resnet_d import ResNetD
  from kornia.contrib.models.rt_detr.architecture.rtdetr_head import RTDETRHead
  from kornia.contrib.models.rt_detr.model import RTDETR, RTDETRConfig
  from kornia.testing import BaseTester, assert_close
label_desc: Use image node_id 2 for calling the TestRTDETR obj's underlying member method code with example usage: obj.test_cardinality(shape, device, dtype) without return types