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.

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Last updated 2022-10-28 UTC.

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