tfg.math.interpolation.bspline.interpolate_with_weights
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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
Note |
|---|
|
In the following, A1 to An, and B1 to Bk are optional batch dimensions.
|
Args |
|---|
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".
|
Returns |
|---|
A tensor with shape [A1, ..., An, B1, ..., Bk], which is the result of
spline interpolation.
|
Raises |
|---|
ValueError
|
If the last dimension of knots and weights is not equal.
|
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Last updated 2022-10-28 UTC.
[null,null,["Last updated 2022-10-28 UTC."],[],[],null,["# tfg.math.interpolation.bspline.interpolate_with_weights\n\n\u003cbr /\u003e\n\n|-----------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/graphics/blob/master/tensorflow_graphics/math/interpolation/bspline.py#L216-L246) |\n\nInterpolates knots using knot weights. \n\n tfg.math.interpolation.bspline.interpolate_with_weights(\n knots: type_alias.TensorLike,\n weights: type_alias.TensorLike,\n name: str = 'bspline_interpolate_with_weights'\n ) -\u003e tf.Tensor\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Note ---- ||\n|---|---|\n| In the following, A1 to An, and B1 to Bk are optional batch dimensions. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-----------|------------------------------------------------------------------------------------------------------------------|\n| `knots` | A tensor with shape `[B1, ..., Bk, C]` containing knot values, where `C` is the number of knots. |\n| `weights` | A tensor with shape `[A1, ..., An, C]` containing dense weights for the knots, where `C` is the number of knots. |\n| `name` | A name for this op. Defaults to \"bspline_interpolate_with_weights\". |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A tensor with shape `[A1, ..., An, B1, ..., Bk]`, which is the result of spline interpolation. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|--------------|----------------------------------------------------------|\n| `ValueError` | If the last dimension of knots and weights is not equal. |\n\n\u003cbr /\u003e"]]
View source on GitHub