Utils

Value Members

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

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

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3. final def ##(): Int

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4. final def ==(arg0: AnyRef): Boolean

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

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6. final def asInstanceOf[T0]: T0

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7. def clone(): AnyRef

   Attributes

   protected[java.lang]

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   @throws( ... )

8. 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

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

   Definition Classes

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10. def equals(arg0: Any): Boolean

    Definition Classes

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11. def finalize(): Unit

    Attributes

    protected[java.lang]

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

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

    Definition Classes

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

    get all modules and map by name

    get all modules and map by name

    T

    model

    returns

14. def hashCode(): Int

    Definition Classes

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15. final def isInstanceOf[T0]: Boolean

    Definition Classes

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16. 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

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

    Definition Classes

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18. final def notify(): Unit

    Definition Classes

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19. final def notifyAll(): Unit

    Definition Classes

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20. 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.

    y

    alpha

    x

    returns

    y

21. 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.

    y

    x

    returns

    y

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

    Fill the value to each Tensor in the table recursively

    Fill the value to each Tensor in the table recursively

    x

    value

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

    Resize table target as table src.

    Resize table target as table src.

    target

    src

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

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

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

    x

    func

25. 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.

    x

    y

    func

    returns

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

    Definition Classes

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27. def toString(): String

    Definition Classes

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28. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

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

    Definition Classes

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    @throws( ... )

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

    returns