Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Issue with numba and KL, gradient does not seem to be evaluated correctly #5

Open
Imraj-Singh opened this issue Jun 16, 2022 · 2 comments

Comments

@Imraj-Singh
Copy link
Contributor

@epapoutsellis @paskino

f = OperatorCompositionFunction(KullbackLeibler(b=acquired_data, eta = background_term, use_numba=False), acq_model)

step_size = 100
ista = ISTA(initial=initial, f=f, g=IndicatorBox(lower=0),
                            step_size=step_size, update_objective_interval=1,
                            max_iteration=1e10, check_convergence_criterion=False)
ista.run(10)
@samdporter
Copy link
Contributor

@epapoutsellis
Copy link
Contributor

There is a PR. A review is welcome and very much appreciated.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants