Gihun Song

running on cpu and gpu also gives same situation..

It seems like, setting seeds give same result for each time, but i'm trying to use same input (single image) so.. it's not understandable..

> @gihunsong you can try : `model = EfficientNet.from_name('efficientnet-b0', num_classes=5) model.load_state_dict(weights_path)` @rkakash59 do you mean that you solved the problem that i mentiond using your suggestion?

> @gihunsong that was a suggestion. > > I missed model.eval() during inference so l was getting inconsistent results. Now I am getting consistent results. @rkakash59 Thanks for your reply....

@rkakash59 I'm still struggling in this issue. you suggested the below code: model = EfficientNet.from_name('efficientnet-b0', num_classes=5) model.load_state_dict(weights_path) could you share your code more in detail upper part of your suggested...

Same with @LuZaiJiaoXiaL here. @LuZaiJiaoXiaL Did you solve the problem by the way?

> @loicland recently tried on torch 1.12.1 & 1.13.1 + cu113, 117 I may need to change the version of it.

@skanti Any plans for releasing the code? Isn't the pytorch code coming soon?