code: def from_coords(
      cls,
      x: Union[float, Tensor],
      y: Union[float, Tensor],
      device: Device = None,
      dtype: Dtype = None,
  ) -> "Vector2":
      KORNIA_CHECK(type(x) == type(y))
      KORNIA_CHECK(isinstance(x, (Tensor, float)))
      if isinstance(x, float):
          return wrap(
              as_tensor((x, y), device=device, dtype=dtype), Vector2
          )
      # TODO: this is totally insane ...
      tensors: Tuple[Tensor, ...] = (x, cast(Tensor, y))
      return wrap(stack(tensors, -1), Vector2)
  
imports: from typing import Optional, Tuple, Union, cast
  from kornia.core import Device, Dtype, Tensor, as_tensor, normalize, rand, stack
  from kornia.core.check import KORNIA_CHECK
  from kornia.core.tensor_wrapper import TensorWrapper, wrap
  from kornia.geometry.linalg import batched_dot_product, batched_squared_norm
label_desc: Use image node_id 10 for calling the Vector2 obj's underlying member method code with example usage: obj.from_coords(cls, x, y, device, dtype) and returns: wrap, wrap