Round trip torch.save / torch.load not working for Hyperplane

[Hackerman342]

Describe the bug

Crashing when trying to save and reload a Hyperplane using torch:

Traceback (most recent call last):
  File "save_hyperplane.py", line 16, in <module>
    plane = torch.load("./saved_plane.pt")
  File "/home/kyle/venv/lib/python3.8/site-packages/torch/serialization.py", line 789, in load
    return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args)
  File "/home/kyle/venv/lib/python3.8/site-packages/torch/serialization.py", line 1131, in _load
    result = unpickler.load()
  File "/home/kyle/venv/lib/python3.8/site-packages/kornia/core/tensor_wrapper.py", line 48, in __getattr__
    self.used_attrs.add(name)
  File "/home/kyle/venv/lib/python3.8/site-packages/kornia/core/tensor_wrapper.py", line 48, in __getattr__
    self.used_attrs.add(name)
  File "/home/kyle/venv/lib/python3.8/site-packages/kornia/core/tensor_wrapper.py", line 48, in __getattr__
    self.used_attrs.add(name)
  [Previous line repeated 993 more times]
RecursionError: maximum recursion depth exceeded

Reproduction steps

$ python3 -m venv venv
$ source venv/bin/activate
(venv) $ pip install kornia
(venv) $ pip install numpy
(venv) $ python save_hyperplane.py

Content of save_hyperplane.py

from kornia.geometry.plane import Hyperplane
from kornia.geometry.vector import Vec3, Scalar
import torch

plane = Hyperplane(
    Vec3(torch.tensor([0,0,1])), Scalar(torch.tensor(0.5))
)

torch.save(plane, "./saved_plane.pt")
plane = torch.load("./saved_plane.pt")

Expected behavior

Hyperplane is able to be saved and reloaded with torch.save & torch.load

Environment

Collecting environment information...
PyTorch version: 1.13.1+cu117
Is debug build: False
CUDA used to build PyTorch: 11.7
ROCM used to build PyTorch: N/A

OS: Ubuntu 20.04.5 LTS (x86_64)
GCC version: (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0
Clang version: Could not collect
CMake version: version 3.16.3
Libc version: glibc-2.31

Python version: 3.8.10 (default, Nov 14 2022, 12:59:47)  [GCC 9.4.0] (64-bit runtime)
Python platform: Linux-5.15.0-56-generic-x86_64-with-glibc2.29
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: GPU 0: NVIDIA GeForce RTX 3080 Laptop GPU
Nvidia driver version: 470.141.03
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

Versions of relevant libraries:
[pip3] numpy==1.24.1
[pip3] torch==1.13.1
[conda] Could not collect

Additional context

No response

[edgarriba]

@Hackerman342 will take a look soon. This i guess is after introducing Vector3 and Scalar types