Comments (2)
Unfortunately not.
If you're free to use JAX instead, and are happy with a slightly different kind of cubic spline (backward Hermite), then this functionality is available in diffrax.backward_hermite_coefficients
. That's the best I can offer I'm afraid!
from torchcubicspline.
Thank you. I will have a look at Diffrax.
from torchcubicspline.
Related Issues (11)
- Interpolating over 2D-grid. HOT 2
- Backwards Pass through spline.derivative gives nan gradients HOT 2
- inefficient _validate_input and mistake HOT 4
- clamped cubic spline supported? HOT 4
- Availability on pypi HOT 2
- Differentiation with respect to coefficients HOT 3
- 1 Dimension Only? HOT 3
- Applying on typical PyTorch data format HOT 5
- Speed of tridiagonal_solve() HOT 1
- Complex value compatibility HOT 2
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from torchcubicspline.