code: def test_valid_param_combinations(
      self,
      depth,
      height,
      width,
      distortion_scale,
      batch_size,
      same_on_batch,
      device,
      dtype,
  ):
      param_gen = PerspectiveGenerator3D(
          distortion_scale=distortion_scale.to(
              device=device, dtype=dtype
          )
      )
      param_gen(
          batch_shape=torch.Size((batch_size, depth, height, width)),
          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 TestRandomPerspectiveGen3D obj's underlying member method code with example usage: obj.test_valid_param_combinations(depth, height, width, distortion_scale, batch_size, same_on_batch, device, dtype) without return types