code: def test_reproduce(self, device, dtype):
      aug = AutoAugment()
      in_tensor = torch.rand(
          10, 3, 50, 50, device=device, dtype=dtype, requires_grad=True
      )
      out_tensor = aug(in_tensor)
      out_tensor_2 = aug(in_tensor, params=aug._params)
      assert_close(out_tensor, out_tensor_2)
  
imports: import inspect
  from typing import List
  import pytest
  import torch
  from kornia.augmentation.auto.autoaugment import AutoAugment
  from kornia.augmentation.auto.operations import OperationBase, ops
  from kornia.augmentation.auto.rand_augment.rand_augment import RandAugment
  from kornia.augmentation.auto.rand_augment.rand_augment import default_policy
  from kornia.augmentation.auto.trivial_augment import TrivialAugment
  from kornia.augmentation.container import AugmentationSequential
  from kornia.geometry.bbox import bbox_to_mask
  from kornia.testing import assert_close
  from kornia.utils._compat import torch_version
  from test.augmentation.test_container import reproducibility_test
label_desc: Use image node_id 3 for calling the TestAutoAugment obj's underlying member method code with example usage: obj.test_reproduce(device, dtype) without return types