Evaluation does not reset hidden states.

[lyf-1]

        with torch.no_grad():
            hidden = self.model.init_hidden()
            for ii, (input, target, mask) in tqdm(enumerate(dataloader), total=len(dataloader.dataset.df) // dataloader.batch_size, miniters = 1000):
            #for input, target, mask in dataloader:
                input = input.to(self.device)
                target = target.to(self.device)
                logit, hidden = self.model(input, hidden)
                logit_sampled = logit[:, target.view(-1)]
                loss = self.loss_func(logit_sampled)
                recall, mrr = lib.evaluate(logit, target, k=self.topk)

Hi, lib.evaluation.Evaluation does not reset hidden staes. Is that right?

[hungpthanh]

@lyf-1 Sorry for my late reply,
Yes, you are right, lib.evaluation.Evaluation does not reset hidden staes.
I think that hidden state should be reseted before the input goes through the model.
Thank you for your question!