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| import math |
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| def adjust_learning_rate(optimizer, epoch, args): |
| """Decay the learning rate with half-cycle cosine after warmup""" |
| if epoch < args.warmup_epochs: |
| lr = args.lr * epoch / args.warmup_epochs |
| else: |
| lr = args.min_lr + (args.lr - args.min_lr) * 0.5 * \ |
| (1. + math.cos(math.pi * (epoch - args.warmup_epochs) / (args.epochs - args.warmup_epochs))) |
| for param_group in optimizer.param_groups: |
| if "lr_scale" in param_group: |
| param_group["lr"] = lr * param_group["lr_scale"] |
| else: |
| param_group["lr"] = lr |
| return lr |
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