TrainSummary

Value Members

1. final def !=(arg0: Any): Boolean

   

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2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. def addHistogram[T](tag: String, value: Tensor[T], step: Long)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): TrainSummary.this.type

   

   Add a histogram summary.

   Add a histogram summary.

   tag

   tag name.

   value

   a tensor.

   step

   current step.

   returns

   this

   Definition Classes

   Summary

5. def addScalar(tag: String, value: Float, step: Long): TrainSummary.this.type

   

   Add a scalar summary.

   Add a scalar summary.

   tag

   tag name.

   value

   tag value.

   step

   current step.

   returns

   this

   Definition Classes

   Summary

6. final def asInstanceOf[T0]: T0

   

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7. def clone(): AnyRef

   

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   protected[java.lang]

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   @throws( ... )

8. def close(): Unit

   

   Close this logger.

   Close this logger.

   Definition Classes

   Summary

9. final def eq(arg0: AnyRef): Boolean

   

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10. def equals(arg0: Any): Boolean

    

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11. def finalize(): Unit

    

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    protected[java.lang]

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    @throws( classOf[java.lang.Throwable] )

12. val folder: String

    

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    protected

13. final def getClass(): Class[_]

    

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14. def getSummaryTrigger(tag: String): Option[Trigger]

    

    Get a trigger by tag name.

15. def hashCode(): Int

    

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16. final def isInstanceOf[T0]: Boolean

    

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17. final def ne(arg0: AnyRef): Boolean

    

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18. final def notify(): Unit

    

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19. final def notifyAll(): Unit

    

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20. def readScalar(tag: String): Array[(Long, Float, Double)]

    

    Read scalar values to an array of triple by tag name.

    Read scalar values to an array of triple by tag name. First element of the triple is step, second is value, third is wallClockTime.

    tag

    tag name. Supported tag names is "LearningRate", "Loss", "Throughput"

    returns

    an array of triple.

    Definition Classes

    TrainSummary → Summary

21. def setSummaryTrigger(tag: String, trigger: Trigger): TrainSummary.this.type

    

    Supported tag name are LearningRate, Loss, Throughput, Parameters.

    Supported tag name are LearningRate, Loss, Throughput, Parameters. Parameters contains weight, bias, gradWeight, gradBias, and some running status(eg. runningMean and runningVar in BatchNormalization).

    Notice: By default, we record LearningRate, Loss and Throughput each iteration, while recording parameters is disabled. The reason is getting parameters from workers is a heavy operation when the model is very big.

    tag

    tag name

    trigger

    trigger

22. final def synchronized[T0](arg0: ⇒ T0): T0

    

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23. def toString(): String

    

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24. final def wait(): Unit

    

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    @throws( ... )

25. final def wait(arg0: Long, arg1: Int): Unit

    

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26. final def wait(arg0: Long): Unit

    

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    @throws( ... )

27. val writer: FileWriter

    

    Attributes

    protected

    Definition Classes

    TrainSummary → Summary