code: def test_forward(self, device, dtype, keepdim):
      torch.manual_seed(42)
      input = torch.rand((12, 3, 4, 5), device=device, dtype=dtype)
      expected_output = (
          input[..., :2, :2]
          if keepdim
          else input.unsqueeze(dim=0)[..., :2, :2]
      )
      augmentation = _BasicAugmentationBase(
          p=0.3, p_batch=1.0, keepdim=keepdim
      )
      with patch.object(
          augmentation, "apply_transform", autospec=True
      ) as apply_transform, patch.object(
          augmentation, "generate_parameters", autospec=True
      ) as generate_parameters, patch.object(
          augmentation, "transform_tensor", autospec=True
      ) as transform_tensor, patch.object(
          augmentation, "transform_output_tensor", autospec=True
      ) as transform_output_tensor:
          generate_parameters.side_effect = lambda shape: {
              "degrees": torch.arange(
                  0, shape[0], device=device, dtype=dtype
              )
          }
          transform_tensor.side_effect = lambda x: x.unsqueeze(dim=0)
          transform_output_tensor.side_effect = lambda x, y: x.squeeze()
          apply_transform.side_effect = (
              lambda input, params, flags: input[..., :2, :2]
          )
          # check_batching.side_effect = lambda input: None
          output = augmentation(input)
          assert output.shape == expected_output.shape
          assert_close(output, expected_output)
  
imports: from unittest.mock import patch
  import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia.testing
  from kornia.augmentation._2d.base import AugmentationBase2D
  from kornia.augmentation._2d.geometric.affine import RandomAffine
  from kornia.augmentation._2d.intensity.gaussian_blur import RandomGaussianBlur
  from kornia.augmentation._3d.geometric.affine import RandomAffine3D
  from kornia.augmentation._3d.intensity.motion_blur import RandomMotionBlur3D
  from kornia.augmentation.base import _BasicAugmentationBase
  from kornia.testing import assert_close
label_desc: Use image node_id 4 for calling the TestBasicAugmentationBase obj's underlying member method code with example usage: obj.test_forward(device, dtype, keepdim) without return types