Utils

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. final def asInstanceOf[T0]: T0

   

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5. def calculateFwdBwdTime[T](times: Array[(AbstractModule[_ <: Activity, _ <: Activity, T], Long, Long)])(implicit arg0: ClassTag[T]): (Long, Long)

   

   Calculate forward time and backward time.

6. def clone(): AnyRef

   

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   protected[java.lang]

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   @throws( ... )

7. def copyModule[T](src: Module[T], dst: Module[T]): Module[T]

   

   copy src's parameters and running status to dst

   copy src's parameters and running status to dst

   src

   source model

   dst

   destination model

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

   

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9. def equals(arg0: Any): Boolean

   

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10. def finalize(): Unit

    

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    protected[java.lang]

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

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

    

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12. def getNamedModules[T](model: Module[T]): Map[String, Module[T]]

    

    get all modules and map by name

13. def hashCode(): Int

    

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14. final def isInstanceOf[T0]: Boolean

    

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15. def isLayerwiseScaled[T](model: Module[T]): Boolean

    

    get whether the module is layerwise scaled

    get whether the module is layerwise scaled

    model

    input module

    returns

    whether the module is layerwise scaled

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

    

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17. final def notify(): Unit

    

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18. final def notifyAll(): Unit

    

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19. def recursiveAdd[T](y: Activity, alpha: Double = 1.0, x: Activity)(implicit ev: TensorNumeric[T]): Activity

    

    Apply a add operation on table x and table y one by one.

    Apply a add operation on table x and table y one by one. y := y + alpha * x

    Table x should have the same size with y.

    returns

    y

20. def recursiveCopy[T](y: Activity, x: Activity)(implicit ev: TensorNumeric[T]): Activity

    

    copy table x's tensor to table y.

    copy table x's tensor to table y.

    Table x should have the same size with y.

    returns

    y

21. def recursiveFill[T](x: Activity, value: Double)(implicit ev: TensorNumeric[T]): Unit

    

    Fill the value to each Tensor in the table recursively

22. def recursiveResizeAs[T](target: Activity, src: Activity)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Activity

    

    Resize table target as table src.

23. def recursiveTensorApply1[T](x: Activity, func: (Tensor[T]) ⇒ Tensor[T])(implicit ev: TensorNumeric[T]): Unit

    

    Apply function 'func' on all tensor in the table.

24. def recursiveTensorApply2[T](x: Activity, y: Activity, func: (Tensor[T], Tensor[T]) ⇒ Tensor[T])(implicit ev: TensorNumeric[T]): Activity

    

    Apply function 'func' on each tensor in table x and table y recursively.

    Apply function 'func' on each tensor in table x and table y recursively.

    Table x should have the same size with table y.

25. def shuffle[T](src: Tensor[T], permutation: Array[Int], buffer: Tensor[T] = null)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]

    

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

    

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27. def toString(): String

    

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28. final def wait(): Unit

    

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

    

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

    

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31. def zeroTableCopy[T](t1: Table, t2: Table)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Table

    

    This method recursively keep the shape of the source table t2 and set the elements of each tensor to zero, saving the result on the destination table t1 Notice that t1 and t2 can only contain tables or tensors

    This method recursively keep the shape of the source table t2 and set the elements of each tensor to zero, saving the result on the destination table t1 Notice that t1 and t2 can only contain tables or tensors

    t1

    is the destination table

    t2

    is the source table