code: def test_load_pretrained(self, device, dtype):
      model = EfficientViT.from_config(EfficientViTConfig())
      model = model.to(device=device, dtype=dtype)
  
      image = torch.randn(1, 3, 224, 224, device=device, dtype=dtype)
      feats = model(image)
      assert feats["stage_final"].shape == torch.Size([1, 256, 7, 7])
  
file_path: kornia/test/contrib/models/test_efficient_vit.py
imports: from pathlib import Path
  import pytest
  import torch
  from kornia.contrib.models.efficient_vit import EfficientViT, EfficientViTConfig
  from kornia.contrib.models.efficient_vit import backbone
  from kornia.utils._compat import torch_version_lt
label_desc: Use image node_id 5 for calling the TestEfficientViT obj's underlying member method code with example usage: obj.test_load_pretrained(device, dtype) without return types