fix loss normalization for ddp training

haoneng.lhn

2023-12-08 ace42e5043be992c3a324fc637ba0594f10ad3b6

 funasr/models/predictor/cif.py

@@ -499,7 +499,7 @@


        fire_place = integrate >= threshold

        integrate = torch.where(fire_place,

                                integrate - torch.ones([batch_size], device=alphas.device),

                                integrate - torch.ones([batch_size], device=alphas.device)*threshold,

                                integrate)



    fires = torch.stack(list_fires, 1)