code: def test_cardinality(self, device, dtype, batch_size, num_classes):
      model = TinyViT(num_classes=num_classes).to(
          device=device, dtype=dtype
      )
      inpt = torch.rand(
          batch_size,
          3,
          model.img_size,
          model.img_size,
          device=device,
          dtype=dtype,
      )
  
      out = model(inpt)
      assert out.shape == (batch_size, num_classes)
  
file_path: kornia/test/contrib/models/test_tiny_vit.py
imports: import pytest
  import torch
  from kornia.contrib.models.tiny_vit import TinyViT
  from kornia.core import Tensor
  from kornia.testing import BaseTester
label_desc: Use image node_id 2 for calling the TestTinyViT obj's underlying member method code with example usage: obj.test_cardinality(device, dtype, batch_size, num_classes) without return types