com.thoughtworks.deeplearning

Symbolic

object Symbolic extends LowPrioritySymbolic

There are two ways to convert a value to Layer.

The first way is invoke toLayer, such as:

def createMyNeuralNetwork(implicit input: Float @Symbolic): Float @Symbolic = {
val floatLayer: Float @Symbolic = 1.0f.toLayer
floatLayer
}

The second way is autoToLayer, such as:

def createMyNeuralNetwork(implicit input: Float @Symbolic): Float @Symbolic = {
val floatLayer: Float @Symbolic = 1.0f
floatLayer
}

In order to compile the above code through, you will need:

import com.thoughtworks.deeplearning.Symbolic._
import com.thoughtworks.deeplearning.Symbolic
import com.thoughtworks.deeplearning.DifferentiableFloat._
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LowPrioritySymbolic, AnyRef, Any
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Type Members

  1. trait ToLayer[From, Input <: Tape] extends DepFn1[From]

  2. implicit final class ToLayerOps[From, Input <: Tape, OutputData, OutputDelta] extends AnyRef

  3. trait ToLiteral[From] extends DepFn1[From]

  4. implicit final class ToTapeOps[From, Data, Delta] extends AnyRef

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  6. object Layers

  7. object ToLayer extends ToLayerLowPriorityImplicits

  8. object ToLiteral

  9. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  10. implicit def autoToLayer[A, Input <: Tape, OutputData, OutputDelta](a: A)(implicit toLayer: Aux[A, Input, OutputData, OutputDelta]): Aux[Input, Aux[OutputData, OutputDelta]]

  11. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef

  13. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  14. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  15. implicit def from[NativeOutput, Data0, Delta0](implicit toLiteral: Lazy[Aux[NativeOutput, Data0, Delta0]]): Aux[NativeOutput, Data0, Delta0]

    Definition Classes
    LowPrioritySymbolic

  16. implicit def fromTo[NativeInput, NativeOutput, InputData0, InputDelta0, OutputData0, OutputDelta0](implicit inputToLiteral: Lazy[Aux[NativeInput, InputData0, InputDelta0]], outputToLiteral: Lazy[Aux[NativeOutput, OutputData0, OutputDelta0]]): Aux[NativeInput, NativeOutput, InputData0, InputDelta0, OutputData0, OutputDelta0]

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

    Definition Classes
    AnyRef → Any

  18. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  19. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  21. final def notify(): Unit

    Definition Classes
    AnyRef

  22. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
    AnyRef

  24. implicit def to[NativeOutput, InputData0, InputDelta0, OutputData0, OutputDelta0](implicit inputPlaceHolder: Identity[InputData0, InputDelta0], toLiteral: Aux[NativeOutput, OutputData0, OutputDelta0]): Aux[NativeOutput, InputData0, InputDelta0, OutputData0, OutputDelta0]

  25. def toString(): String

    Definition Classes
    AnyRef → Any

  26. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from LowPrioritySymbolic

Inherited from AnyRef

Inherited from Any

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