tfg.math.interpolation.bspline.interpolate
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Applies B-spline interpolation to input control points (knots).
tfg.math.interpolation.bspline.interpolate(
knots: type_alias.TensorLike,
positions: type_alias.TensorLike,
degree: int,
cyclical: bool,
name: str = 'bspline_interpolate'
) -> 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.
|
positions
|
Tensor with shape [A1, .. An] . Positions must be between
[0, C - D) for non-cyclical and [0, C) for cyclical splines, where C
is the number of knots and D is the spline degree.
|
degree
|
An int between 0 and 4, or an enumerated constant from the Degree
class, which is the degree of the splines.
|
cyclical
|
A bool , whether the splines are cyclical.
|
name
|
A name for this op. Defaults to "bspline_interpolate".
|
Returns |
A tensor of shape [A1, ... An, B1, ..., Bk] , which is the result of spline
interpolation.
|
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Last updated 2022-10-28 UTC.
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