case class Yogi(parameters: Seq[(STen, PTag)], weightDecay: OptimizerHyperparameter, learningRate: OptimizerHyperparameter = simple(0.01), beta1: OptimizerHyperparameter = simple(0.9), beta2: OptimizerHyperparameter = simple(0.999), eps: Double = 1e-3, clip0: Option[Double] = None, debias: Boolean = true) extends Optimizer with Product with Serializable
The Yogi optimizer algorithm I added the decoupled weight decay term following https://arxiv.org/pdf/1711.05101.pdf
- See also
https://papers.nips.cc/paper/2018/file/90365351ccc7437a1309dc64e4db32a3-Paper.pdf Algorithm 2
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Instance Constructors
- new Yogi(parameters: Seq[(STen, PTag)], weightDecay: OptimizerHyperparameter, learningRate: OptimizerHyperparameter = simple(0.01), beta1: OptimizerHyperparameter = simple(0.9), beta2: OptimizerHyperparameter = simple(0.999), eps: Double = 1e-3, clip0: Option[Double] = None, debias: Boolean = true)
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- val beta1: OptimizerHyperparameter
- val beta2: OptimizerHyperparameter
- val clip: Option[STen]
- val clip0: Option[Double]
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- val debias: Boolean
- val eps: Double
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- val learningRate: OptimizerHyperparameter
- def load(tensors: Seq[STen]): Unit
- val mt: List[STen]
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- val parameters: Seq[(STen, PTag)]
- def productElementNames: Iterator[String]
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- def release(): Unit
- val scope: Scope
- def state: List[STen]
- def step(gradients: Seq[Option[STen]], scheduleFactor: Double): Unit
- var stepCount: Long
- val stepCountSTen: STen
- final def synchronized[T0](arg0: => T0): T0
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- val vt: List[STen]
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- val weightDecay: OptimizerHyperparameter
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(Since version 9)