Paidi Akileswar

@niujinshuchong @Legend94rz > Hi, sorry for the late reply. the interlevel_loss_zip is not numerically stable. You can change it to interlevel_loss. Can i know how to change it ,is it...

Should I change here ``` if self.training: loss_dict["interlevel_loss"] = self.config.interlevel_loss_mult * interlevel_loss_zip( outputs["weights_list"], outputs["ray_samples_list"] ) ``` To ``` if self.training: loss_dict["interlevel_loss"] = self.config.interlevel_loss_mult * interlevel_loss( outputs["weights_list"], outputs["ray_samples_list"] ) ```

 @attilaolah Please look into it When i debbugged i got this as output

@attilaolah @ahojnnes I was trying to merge my 2 models ## **Method - 1:** So Firstly i divided my images SPLIT 1 => 1- 400 SPLIT 2 => 300 -...

> Same error. But it doesn't happen every time you merge. example： > > > Most of the time it's normal, but it throws an exception during some merges. So...

Thanks for Quick Reply @gmberton -> I am going to try that on 360 images , Asap my testing is done , Here I will do share my results ,...