Loading fairseq/multiprocessing_trainer.py +3 −0 Changes for fairseq/multiprocessing_trainer.py: 3 added lines, 0 removed lines. Original line number Diff line number Diff line Loading @@ -265,7 +265,10 @@ class MultiprocessingTrainer(MultiprocessingEventLoop): self._all_reduce_and_rescale_grads(grad_denom) # clip grads if self.args.clip_norm > 0: grad_norm = torch.nn.utils.clip_grad_norm(self.model.parameters(), self.args.clip_norm) else: grad_norm = math.sqrt(sum([p.grad.data.norm()**2 for p in self.model.parameters()])) # take an optimization step self.optimizer.step() Loading Loading
fairseq/multiprocessing_trainer.py +3 −0 Changes for fairseq/multiprocessing_trainer.py: 3 added lines, 0 removed lines. Original line number Diff line number Diff line Loading @@ -265,7 +265,10 @@ class MultiprocessingTrainer(MultiprocessingEventLoop): self._all_reduce_and_rescale_grads(grad_denom) # clip grads if self.args.clip_norm > 0: grad_norm = torch.nn.utils.clip_grad_norm(self.model.parameters(), self.args.clip_norm) else: grad_norm = math.sqrt(sum([p.grad.data.norm()**2 for p in self.model.parameters()])) # take an optimization step self.optimizer.step() Loading