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