final case class Compose[Input0 <: Tape, Temporary <: Tape, Output0 <: Tape](leftOperand: Aux[Temporary, Output0], rightOperand: Aux[Input0, Temporary]) extends Layer with Product with Serializable
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- Compose
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Implicitly
- by toAnyLayerOps
- by any2stringadd
- by StringFormat
- by Ensuring
- by ArrowAssoc
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Instance Constructors
- new Compose(leftOperand: Aux[Temporary, Output0], rightOperand: Aux[Input0, Temporary])
Type Members
Value Members
-
final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
##(): Int
- Definition Classes
- AnyRef → Any
- def +(other: String): String
- def ->[B](y: B): (Compose[Input0, Temporary, Output0], B)
-
final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
def
clone(): AnyRef
- Attributes
- protected[java.lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
def
compose[NewInput <: Tape](g: Aux[NewInput, Input]): Aux[NewInput, Aux[OutputData, OutputDelta]]
[use case]
[use case]- Implicit
- This member is added by an implicit conversion from Compose[Input0, Temporary, Output0] to AnyLayerOps[Input, OutputData, OutputDelta] performed by method toAnyLayerOps in com.thoughtworks.deeplearning.DifferentiableAny. This conversion will take place only if an implicit value of type Aux[Compose[Input0, Temporary, Output0], Input, OutputData, OutputDelta] is in scope.
- Definition Classes
- AnyLayerOps
import com.thoughtworks.deeplearning.DifferentiableAny._ def composeNetwork(implicit thisLayer: INDArray @Symbolic)(anotherLayer: INDArray @Symbolic) = { thisLayer.compose(anotherLayer)
Full Signaturedef compose[G, NewInput <: Tape, InputData, InputDelta](g: G)(implicit toLayer: Aux[G, NewInput, InputData, InputDelta], toInput: <:<[Aux[NewInput, Aux[InputData, InputDelta]], Aux[NewInput, Input]]): Aux[NewInput, Aux[OutputData, OutputDelta]]
Example: - def ensuring(cond: (Compose[Input0, Temporary, Output0]) ⇒ Boolean, msg: ⇒ Any): Compose[Input0, Temporary, Output0]
- def ensuring(cond: (Compose[Input0, Temporary, Output0]) ⇒ Boolean): Compose[Input0, Temporary, Output0]
- def ensuring(cond: Boolean, msg: ⇒ Any): Compose[Input0, Temporary, Output0]
- def ensuring(cond: Boolean): Compose[Input0, Temporary, Output0]
-
final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
finalize(): Unit
- Attributes
- protected[java.lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
- def formatted(fmtstr: String): String
-
def
forward(input: Input): Output
- Definition Classes
- Compose → Layer
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- val leftOperand: Aux[Temporary, Output0]
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
-
def
predict[InputData, InputDelta](inputData: InputData)(implicit ev: <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Aux[InputData, InputDelta], Aux[OutputData, OutputDelta]]]): OutputData
Returns the result of inputData's forward.
Returns the result of inputData's forward.
- Implicit
- This member is added by an implicit conversion from Compose[Input0, Temporary, Output0] to AnyLayerOps[Input, OutputData, OutputDelta] performed by method toAnyLayerOps in com.thoughtworks.deeplearning.DifferentiableAny. This conversion will take place only if an implicit value of type Aux[Compose[Input0, Temporary, Output0], Input, OutputData, OutputDelta] is in scope.
- Definition Classes
- AnyLayerOps
import com.thoughtworks.deeplearning.DifferentiableAny._ def composeNetwork(implicit inputData: INDArray @Symbolic) = ??? val predictor = composeNetwork predictor.predict(testData)
Example: - val rightOperand: Aux[Input0, Temporary]
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
def
train[InputData, InputDelta](inputData: InputData)(implicit ev: <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Aux[InputData, InputDelta], Aux[OutputData, OutputDelta]]], outputDataIsOutputDelta: Trainable[OutputData, OutputDelta]): OutputData
Updates those weights embedded in
anyLayeraccording to the result of inputData's backward.Updates those weights embedded in
anyLayeraccording to the result of inputData's backward.- Implicit
- This member is added by an implicit conversion from Compose[Input0, Temporary, Output0] to AnyLayerOps[Input, OutputData, OutputDelta] performed by method toAnyLayerOps in com.thoughtworks.deeplearning.DifferentiableAny. This conversion will take place only if an implicit value of type Aux[Compose[Input0, Temporary, Output0], Input, OutputData, OutputDelta] is in scope.
- Definition Classes
- AnyLayerOps
import com.thoughtworks.deeplearning.DifferentiableAny._ def composeNetwork(implicit input: INDArray @Symbolic) = ??? val yourNetwork=composeNetwork yourNetwork.train(testData)
Example: -
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
def
withOutputDataHook(hook: (OutputData) ⇒ Unit): Aux[Input, Aux[OutputData, OutputDelta]]
Returns a new Layer which is a wrapper of result of
anyLayer's forward and will invokehook(anyLayer.forward(input).value).Returns a new Layer which is a wrapper of result of
anyLayer's forward and will invokehook(anyLayer.forward(input).value). In DeepLearning.Scala, operation is not immediately run, but first filled the network with placeholders, until the entire network is running, the real data will replace placeholders. So if you want to know some layers's intermediate state, you need to usewithOutputDataHook.- Implicit
- This member is added by an implicit conversion from Compose[Input0, Temporary, Output0] to AnyLayerOps[Input, OutputData, OutputDelta] performed by method toAnyLayerOps in com.thoughtworks.deeplearning.DifferentiableAny. This conversion will take place only if an implicit value of type Aux[Compose[Input0, Temporary, Output0], Input, OutputData, OutputDelta] is in scope.
- Definition Classes
- AnyLayerOps
import com.thoughtworks.deeplearning.DifferentiableAny._ (var:INDArray @Symbolic).withOutputDataHook{ data => println(data) }
Example: - def →[B](y: B): (Compose[Input0, Temporary, Output0], B)