Loading fairseq/optim/adam.py +1 −1 Changes for fairseq/optim/adam.py: 1 added line, 1 removed line. Original line number Diff line number Diff line Loading @@ -96,7 +96,7 @@ class Adam(Optimizer): step_size = group['lr'] * math.sqrt(bias_correction2) / bias_correction1 if group['weight_decay'] != 0: p.data.add_(-group['weight_decay'], p.data) p.data.add_(-group['weight_decay'] * group['lr'], p.data) p.data.addcdiv_(-step_size, exp_avg, denom) Loading fairseq/optim/nag.py +1 −1 Changes for fairseq/optim/nag.py: 1 added line, 1 removed line. Original line number Diff line number Diff line Loading @@ -44,7 +44,7 @@ class NAG(Optimizer): buf = param_state['momentum_buffer'] if weight_decay != 0: p.data.mul_(1 - weight_decay) p.data.mul_(1 - lr * weight_decay) p.data.add_(momentum * momentum * lr_correct, buf) p.data.add_(-(1 + momentum) * lr, d_p) Loading Loading
fairseq/optim/adam.py +1 −1 Changes for fairseq/optim/adam.py: 1 added line, 1 removed line. Original line number Diff line number Diff line Loading @@ -96,7 +96,7 @@ class Adam(Optimizer): step_size = group['lr'] * math.sqrt(bias_correction2) / bias_correction1 if group['weight_decay'] != 0: p.data.add_(-group['weight_decay'], p.data) p.data.add_(-group['weight_decay'] * group['lr'], p.data) p.data.addcdiv_(-step_size, exp_avg, denom) Loading
fairseq/optim/nag.py +1 −1 Changes for fairseq/optim/nag.py: 1 added line, 1 removed line. Original line number Diff line number Diff line Loading @@ -44,7 +44,7 @@ class NAG(Optimizer): buf = param_state['momentum_buffer'] if weight_decay != 0: p.data.mul_(1 - weight_decay) p.data.mul_(1 - lr * weight_decay) p.data.add_(momentum * momentum * lr_correct, buf) p.data.add_(-(1 + momentum) * lr, d_p) Loading