object Adafactor
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- def apply(learningRate: Option[Float] = None, decayRate: Option[Float] = None, decay: Schedule[Float] = FixedSchedule[Float](), multiplyByParameterScale: Boolean = true, beta1: Float = 0.0f, clippingThreshold: Option[Float] = Some(1.0f), factored: Boolean = true, epsilon1: Float = 1e-30f, epsilon2: Float = 1e-3f, useLocking: Boolean = false, learningRateSummaryTag: String = null, name: String = "Adafactor"): Adafactor
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- def defaultDecayRate(iteration: Output[Int]): Output[Float]
- def defaultDecayRateAdam(iteration: Output[Int], beta2: Output[Float]): Output[Float]
- def defaultDecayRatePow(iteration: Output[Int], exponent: Output[Float]): Output[Float]
- def defaultLearningRate(multiplyByParameterScale: Boolean, iteration: Output[Int]): Output[Float]
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