code: def test_valid_param_combinations(
      self,
      batch_shape,
      degrees,
      translate,
      scale,
      shear,
      same_on_batch,
      device,
      dtype,
  ):
      if isinstance(degrees, torch.Tensor):
          degrees.to(dtype=dtype, device=device)
      if isinstance(translate, torch.Tensor):
          translate.to(dtype=dtype, device=device)
      if isinstance(scale, torch.Tensor):
          scale.to(dtype=dtype, device=device)
      if isinstance(shear, torch.Tensor):
          shear.to(dtype=dtype, device=device)
  
      param_gen = AffineGenerator3D(
          degrees=degrees,
          translate=translate,
          scale=scale,
          shears=shear,
      )
      param_gen(
          batch_shape=torch.Size(batch_shape),
          same_on_batch=same_on_batch,
      )
  
imports: import pytest
  import torch
  from kornia.augmentation.random_generator import AffineGenerator3D, CropGenerator3D, MotionBlurGenerator3D, PerspectiveGenerator3D, RotationGenerator3D, center_crop_generator3d
  from kornia.testing import assert_close
label_desc: Use image node_id 1 for calling the TestRandomAffineGen3D obj's underlying member method code with example usage: obj.test_valid_param_combinations(batch_shape, degrees, translate, scale, shear, same_on_batch, device, dtype) without return types