google / jaxopt

Hardware accelerated, batchable and differentiable optimizers in JAX.
https://jaxopt.github.io
Apache License 2.0
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`verbose=False` is not working as expected for `NonlinearCG` #571

Closed Joshuaalbert closed 5 months ago

Joshuaalbert commented 5 months ago
    def loss(U: UType):
        return -model.log_prob_likelihood(U, allow_nan=False)

    solver = NonlinearCG(
        fun=loss,
        jit=True,
        unroll=False,
        verbose=False
    )
    results = solver.run(init_params=init_U_point)

It still prints out linesearch debug lines like:

WARNING: jaxopt.ZoomLineSearch: Returning stepsize with sufficient decrease but curvature condition not satisfied.
INFO: jaxopt.ZoomLineSearch: Iter: 9 Minimum Decrease & Curvature Errors (stop. crit.): 3.3350500139306405e-09 Stepsize:0.00016820144082885236  Decrease Error:0.0  Curvature Error:3.3350500139306405e-09 
vroulet commented 5 months ago

Thanks for bringing this up. https://github.com/google/jaxopt/pull/573 should fix the issue, but I need to investigate the failing tests.