tfg.math.interpolation.bspline.interpolate_with_weights

Interpolates knots using knot weights.

tfg.math.interpolation.bspline.interpolate_with_weights(
    knots: type_alias.TensorLike,
    weights: type_alias.TensorLike,
    name: str = 'bspline_interpolate_with_weights'
) -> tf.Tensor

In the following, A1 to An, and B1 to Bk are optional batch dimensions.

knots A tensor with shape [B1, ..., Bk, C] containing knot values, where C is the number of knots.
weights A tensor with shape [A1, ..., An, C] containing dense weights for the knots, where C is the number of knots.
name A name for this op. Defaults to "bspline_interpolate_with_weights".

A tensor with shape [A1, ..., An, B1, ..., Bk], which is the result of spline interpolation.

ValueError If the last dimension of knots and weights is not equal.