decay_steps, optimizer_conf.decay_factor, initial_epoch) elif scheduler_name == 'linear' or scheduler_name == 'polynomial': power = 1.0 if scheduler_name == 'linear' else optimizer_conf.decay_power lr_lambda = _get_polynomial_decay(optimizer_conf.learning_rate, optimizer_conf.end_learning_...
LinearLR是线性学习率,给定起始factor和最终的factor,LinearLR会在中间阶段做线性插值。 比如学习率为0.1,起始factor为1,最终的factor为0.2,那么第0次迭代,学习率将为0.1,最终轮学习率为0.02。 lr_scheduler = lr_scheduler.LinearLR(optimizer, start_factor=1, end_factor=0.2, total_iters=80) 训练100轮,但to...
-lrDecayFactor: multiplier for the learning rate decay -lrDecayEvery: decay the learning rate after every n epochs An example of a more specific run: th train.lua -trainList train.txt -valList val.txt -testList test.txt -numClasses 101 -videoHeight 240 -videoWidth 320 -scaledHeight 224...
cur_decay = cur_decay * cfg.TRAIN.BN_DECAYreturnmax(cfg.TRAIN.BN_MOMENTUM * cur_decay, cfg.TRAIN.BNM_CLIP)ifcfg.TRAIN.OPTIMIZER =='adam_onecycle': lr_scheduler = lsf.OneCycle( optimizer, total_steps, cfg.TRAIN.LR, list(cfg.TRAIN.MOMS), cfg.TRAIN.DIV_FACTOR, cfg.TRAIN.PCT_START )...
Package: Microsoft.ML v3.0.1 Learning rate decay factor. C# คัดลอก public float DecayRate; Field Value Single Applies to ผลิตภัณฑ์เวอร์ชัน ML.NET 1.4.0, 1.5.0, 1.6.0, 1.7.0, 2.0.0, 3.0.0 ใ...
decay_factor, initial_epoch) elif scheduler_name == 'linear' or scheduler_name == 'polynomial': power = 1.0 if scheduler_name == 'linear' else optimizer_conf.decay_power lr_lambda = _get_polynomial_decay(optimizer_conf.learning_rate, optimizer_conf.end_learning_rate, optimizer_conf.decay_...
opt = SGD(lr=cfg.lr, decay=1e-6, momentum=0.9, nesterov=True, clipnorm=5)elifcfg.optimizer =='adam': opt = Adam(lr=cfg.lr)else:raiseValueError('Wrong optimizer name')returnopt 开发者ID:kurapan,项目名称:CRNN,代码行数:10,代码来源:train.py ...
1. Here,lris the initial learning rate,gammais the decay factor, andepochis the current epoch number. As the epoch increases, the learning rate decreases exponentially according to the decay factor. Code Example Let’s see how to implement the ExponentialLR scheduler in PyTorch with a code exa...
args: parser_setting verbose: int. 0: quiet, 1: update messages. """def__init__(self,args,verbose=0):super(MultiStepLR,self).__init__()self.args=args self.steps=args.lr_decay_epochs self.factor=args.lr_decay_factor self.verbose=verbosedefon_epoch_begin(self,epoch,logs=None):ifnot...
intstep_size;// period of LR decay floatgamma;// LR decay factor }; classMS_APILRScheduler:publicTrainCallBack{ public: explicitLRScheduler(LR_Lambdalambda_func,void*lr_cb_data=nullptr,intstep=1); virtual~LRScheduler(); }; }// namespace mindspore ...