tfg.math.interpolation.slerp.vector_weights

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Spherical linear interpolation (slerp) between two unnormalized vectors.

This function applies geometric slerp to unnormalized vectors by first normalizing them to return the interpolation weights. It reduces to lerp when input vectors are exactly anti-parallel.

Note:

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

vector1 A tensor of shape [A1, ... , An, M], which stores a normalized vector in its last dimension.
vector2 A tensor of shape [A1, ... , An, M], which stores a normalized vector in its last dimension.
percent A float or tensor with shape broadcastable to the shape of input vectors.
eps A small float for operation safety. If left None, its value is automatically selected using dtype of input vectors.
name A name for this op. Defaults to "vector_weights".

ValueError if the shape of vector1, vector2, or percent is not supported.

Two tensors of shape [A1, ... , An, 1], representing interpolation weights for each input vector.