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Interpolates vectors by taking their weighted sum.
tfg.math.interpolation.slerp.interpolate_with_weights(
vector1, vector2, weight1, weight2, name='interpolate_with_weights'
)
Interpolation for all variants of slerp is a simple weighted sum over inputs. Therefore this function simply returns weight1 * vector1 + weight2 * vector2.
Note:
In the following, A1 to An are optional batch dimensions.
Args | |
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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.
|
weight1
|
A float or a tensor describing weights for the vector1 and with
a shape broadcastable to the shape of the input vectors.
|
weight2
|
A float or a tensor describing weights for the vector2 and with
a shape broadcastable to the shape of the input vectors.
|
name
|
A name for this op. Defaults to "interpolate_with_weights". |
Returns | |
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A tensor of shape [A1, ... , An, M] containing the result of the
interpolation.
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