fix loss normalization for ddp training

haoneng.lhn

2023-12-08 acb9a0fec8d8a4dabeedcbb8e08c26f66d7083f0

 funasr/export/models/predictor/cif.py

@@ -288,7 +288,7 @@


        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)