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This issue was faced during refactoring of Interpolated distribution. It uses methods of InterpolatedUnivariateSpline such as integrate() and antiderivative() and these methods aren't directly accessible through the SplineWrapper Op as symbolic operations. (or rather SplineWrapper is not supposed to be used that way as of now.)
The text was updated successfully, but these errors were encountered:
ricardoV94
changed the title
Extending Support of SplineWrapper for proper integration with InterpolatedUnivariateSpline
Enable pm.Interpolated to accept symbolic inputs
Jun 13, 2021
I was thinking this might be as easy as some Op wrappers, because we don't want gradients through the interpolation, yes? If we allow symbolic inputs, these should still be root nodes, otherwise we have to deal with stochastic gradients.
Original Comment by @ricardoV94 : #4746 (comment)
This issue was faced during refactoring of
Interpolated
distribution. It uses methods ofInterpolatedUnivariateSpline
such asintegrate()
andantiderivative()
and these methods aren't directly accessible through theSplineWrapper
Op as symbolic operations. (or ratherSplineWrapper
is not supposed to be used that way as of now.)The text was updated successfully, but these errors were encountered: