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MultiStepDecay
MultiStepDecay MultiStepDecay class paddle.optimizer.lr.MultiStepDecay ( learning_rate, milestones, gamma=0.1, last_epoch=- 1, verbose=False ) [源代码] 该接口提供一种学习率按 指定轮数 进行衰减的策略... -
CosineAnnealingDecay
CosineAnnealingDecay CosineAnnealingDecay class paddle.optimizer.lr.CosineAnnealingDecay ( learning_rate, T_max, eta_min\=0, last_epoch\=- 1, verbose\=False ) [源代码] 该接口使用 co... -
LinearLrWarmup
LinearLrWarmup 参数 返回 代码示例 LinearLrWarmup class paddle.optimizer.lr_scheduler.LinearLrWarmup ( learing_rate, warmup_steps, start_lr, end_lr, last_epoch=- 1, verbose=False ) ... -
MultiStepDecay
MultiStepDecay MultiStepDecay class paddle.optimizer.lr. MultiStepDecay ( learning_rate, milestones, gamma=0.1, last_epoch=- 1, verbose=False ) [源代码] 该接口提供一种学习率按 指定轮数 进行衰减的策略... -
AwsChaos Experiment
AwsChaos Experiment Secret file ec2-stop configuration file ec2-restart configuration file detach-volume configuration file Fields description AwsChaos Experiment This d... -
Distributed Scheduling
Dask.distributed Motivation Architecture Contents Dask.distributed Dask.distributed is a lightweight library for distributed computing in Python.It extends both the concurre... -
Assigning Pods to Nodes
Assigning Pods to Nodes Node labels Node isolation/restriction nodeSelector Affinity and anti-affinity Node affinity Node affinity weight Node affinity per scheduling profile ... -
2.0.2
TiDB 2.0.2 Release Notes TiDB PD TiKV TiDB 2.0.2 Release Notes On May 21, 2018, TiDB 2.0.2 is released. Compared with TiDB 2.0.1, this release has great improvement in system... -
throttleTime
throttleTime 签名: throttleTime(duration: number, scheduler: Scheduler): Observable 当指定的持续时间经过后发出最新值。 示例 示例 1: 每5秒接收最新值 示例 2: 对合并的 observable 节流 其他资源 throttleTime 签名: th... -
PolynomialDecay
PolynomialDecay PolynomialDecay class paddle.optimizer.lr.PolynomialDecay ( learning_rate, decay_steps, end_lr=0.0001, power=1.0, cycle=False, last_epoch=- 1, verbose=False ) ...