tfg.math.vector.reflect

Computes the reflection direction for an incident vector.

tfg.math.vector.reflect(
    vector: TensorLike,
    normal: TensorLike,
    axis: int = -1,
    name: str = 'vector_reflect'
) -> TensorLike

For an incident vector $\mathbf{v}$ and normal $\mathbf{n}$ this function computes the reflected vector as $\mathbf{r} = \mathbf{v} - 2(\mathbf{n}^T\mathbf{v})\mathbf{n}$.

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

Args
vector	A tensor of shape [A1, ..., Ai, ..., An], where the dimension i = axis represents a vector.
normal	A tensor of shape [A1, ..., Ai, ..., An], where the dimension i = axis represents a normal around which the vector needs to be reflected. The normal vector needs to be normalized.
axis	The dimension along which to compute the reflection.
name	A name for this op which defaults to "vector_reflect".

Returns
A tensor of shape [A1, ..., Ai, ..., An], where the dimension i = axis represents a reflected vector.