Packages

case class Linear(weights: Constant, bias: Option[Constant]) extends Module with Product with Serializable

Linear Supertypes
Serializable, Product, Equals, GenericModule[Variable, Variable], AnyRef, Any
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Inherited
  1. Linear
  2. Serializable
  3. Product
  4. Equals
  5. GenericModule
  6. AnyRef
  7. Any
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Visibility
  1. Public
  2. Protected

Instance Constructors

  1. new Linear(weights: Constant, bias: Option[Constant])

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##: Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def apply[S](a: Variable)(implicit arg0: Sc[S]): Variable

    Alias of forward

    Alias of forward

    Definition Classes
    GenericModule
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. val bias: Option[Constant]
  7. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @IntrinsicCandidate() @native()
  8. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  9. def forward[S](x: Variable)(implicit arg0: Sc[S]): Variable

    The implementation of the function.

    The implementation of the function.

    In addition of x it can also use all the state to compute its value.

    Definition Classes
    LinearGenericModule
  10. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @IntrinsicCandidate() @native()
  11. final def gradients(loss: Variable, zeroGrad: Boolean = true): Seq[Option[STen]]

    Computes the gradient of loss with respect to the parameters.

    Computes the gradient of loss with respect to the parameters.

    Definition Classes
    GenericModule
  12. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  13. final def learnableParameters: Long

    Returns the total number of optimizable parameters.

    Returns the total number of optimizable parameters.

    Definition Classes
    GenericModule
  14. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  15. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @IntrinsicCandidate() @native()
  16. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @IntrinsicCandidate() @native()
  17. final def parameters: Seq[(Constant, PTag)]

    Returns the state variables which need gradient computation.

    Returns the state variables which need gradient computation.

    Definition Classes
    GenericModule
  18. def productElementNames: Iterator[String]
    Definition Classes
    Product
  19. val state: List[(Constant, LeafTag with Product with Serializable)]

    List of optimizable, or non-optimizable, but stateful parameters

    List of optimizable, or non-optimizable, but stateful parameters

    Stateful means that the state is carried over the repeated forward calls.

    Definition Classes
    LinearGenericModule
  20. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  21. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  22. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  23. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  24. val weights: Constant
  25. final def zeroGrad(): Unit
    Definition Classes
    GenericModule

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable]) @Deprecated
    Deprecated

    (Since version 9)

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

Ungrouped