"The sum of logpriors in the sample is not consistent." when resuming chains

[gerrfarr]

I am getting recurring errors stating that "The sum of logpriors in the sample is not consistent." I tracked the issue to the check here

cobaya/cobaya/collection.py

Line 467 in a3cb9bf

def _check_logps(self, temperature_only=False):

I can see that the relative tolerance was already increased slightly recently. Would it be a bad idea to also increase the absolute tolerance a bit? It appears that the issue arises when the logprior is close to zero.

[cmbant]

Seems like #306 is not fixed. If you have a simple reproducing example that may help Jesus to figure it out (introduced in #276)

[gerrfarr]

I don't have one on hand, but I could possibly construct something. I figured out that I can alleviate the problem in my case by simply adjusting the absolute tolerance up to 1e-7 (from the default of 1e-8). I suspect it's one of my custom priors which may have fluctuations which are bit larger than usual

[JesusTorrado]

Hi @gerrfarr

You can try #349 if you have time.