Why does torch.linalg.cross no longer support broadcasting like e.g.

I am using expressions like:

```
x = torch.linalg.cross(m, p)
```

where `m`

is a vector field with shape (nx, ny, nz, 3) and `p`

is a material parameter.

`p`

may either be of the same shape as `m`

or of shape (3) if the material is constant.

Both versions worked with a previous version of pytorch, but this behaviour was changed in ‘Strenghten preconditions of linalg.cross (#83798)’. Now the second version raises the following exception:

```
RuntimeError: linalg.cross: inputs must have the same number of dimensions.
```

I would now need to check the dimension of `p`

first and reshape / expand accordingly.

Is there a more elegant way?

best wishes

Florian