case class Warmup(delta: Double) extends LearningRateSchedule with Product with Serializable
A learning rate gradual increase policy, where the effective learning rate increase delta after each iteration. Calculation: base_lr + delta * iteration
- delta
increase amount after each iteration
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new
Warmup(delta: Double)
- delta
increase amount after each iteration
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val
currentRate: Double
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- LearningRateSchedule
- val delta: Double
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def
updateHyperParameter[T](optimMethod: SGD[T]): Unit
update learning rate by config table and state table
update learning rate by config table and state table
- optimMethod
init optiMethod.
- Definition Classes
- Warmup → LearningRateSchedule
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def
updateHyperParameter(config: Table, state: Table): Unit
- Definition Classes
- Warmup → LearningRateSchedule
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