tfg.math.vector.cross

Computes the cross product between two tensors along an axis.

tfg.math.vector.cross(
    vector1: TensorLike,
    vector2: TensorLike,
    axis: int = -1,
    name: str = 'vector_cross'
) -> TensorLike

Note
In the following, A1 to An are optional batch dimensions, which should be broadcast compatible.

Args
vector1	A tensor of shape [A1, ..., Ai = 3, ..., An], where the dimension i = axis represents a 3d vector.
vector2	A tensor of shape [A1, ..., Ai = 3, ..., An], where the dimension i = axis represents a 3d vector.
axis	The dimension along which to compute the cross product.
name	A name for this op which defaults to "vector_cross".

Returns
A tensor of shape [A1, ..., Ai = 3, ..., An], where the dimension i = axis represents the result of the cross product.