Loading fairseq/nag.py +2 −3 Changes for fairseq/nag.py: 2 added lines, 3 removed lines. Original line number Diff line number Diff line Loading @@ -35,15 +35,14 @@ class NAG(Optimizer): continue d_p = p.grad.data if weight_decay != 0: d_p.add_(weight_decay, p.data) param_state = self.state[p] if 'momentum_buffer' not in param_state: param_state['momentum_buffer'] = d_p.clone().zero_() buf = param_state['momentum_buffer'] if weight_decay != 0: p.data.mul_(1 - weight_decay) p.data.add_(momentum * momentum, buf) p.data.add_(-(1 + momentum) * lr, d_p) Loading Loading
fairseq/nag.py +2 −3 Changes for fairseq/nag.py: 2 added lines, 3 removed lines. Original line number Diff line number Diff line Loading @@ -35,15 +35,14 @@ class NAG(Optimizer): continue d_p = p.grad.data if weight_decay != 0: d_p.add_(weight_decay, p.data) param_state = self.state[p] if 'momentum_buffer' not in param_state: param_state['momentum_buffer'] = d_p.clone().zero_() buf = param_state['momentum_buffer'] if weight_decay != 0: p.data.mul_(1 - weight_decay) p.data.add_(momentum * momentum, buf) p.data.add_(-(1 + momentum) * lr, d_p) Loading