Use DataOf and DeltaOf instead #Data and #Delta

Atry · Atry · commit 493544e64491 · 2016-12-06T10:25:05.000+08:00
diff --git a/dsl/src/main/scala/com/thoughtworks/deeplearning/dsl/ToLayer.scala b/dsl/src/main/scala/com/thoughtworks/deeplearning/dsl/ToLayer.scala
@@ -11,7 +11,7 @@ private[deeplearning] sealed trait ToLayerLowPriorityImplicits {
   implicit def toLayerOfType[Input0 <: Batch, OutputType <: Type[_, _]]
     : ToLayer.OfType[Layer.Aux[Input0, OutputType#Batch], Input0, OutputType] = {
     ToLayer
-      .layerToLayer[Input0, OutputType#Data, OutputType#Delta]
+      .layerToLayer[Input0, Type.DataOf[OutputType], Type.DeltaOf[OutputType]]
       .asInstanceOf[ToLayer.OfType[Layer.Aux[Input0, OutputType#Batch], Input0, OutputType]]
   }
 

Original file line number	Diff line number	Diff line change
`@@ -11,7 +11,7 @@ private[deeplearning] sealed trait ToLayerLowPriorityImplicits {`
`11`	`11`	`implicit def toLayerOfType[Input0 <: Batch, OutputType <: Type[_, _]]`
`12`	`12`	`: ToLayer.OfType[Layer.Aux[Input0, OutputType#Batch], Input0, OutputType] = {`
`13`	`13`	`ToLayer`
`14`		`- .layerToLayer[Input0, OutputType#Data, OutputType#Delta]`
	`14`	`+ .layerToLayer[Input0, Type.DataOf[OutputType], Type.DeltaOf[OutputType]]`
`15`	`15`	`.asInstanceOf[ToLayer.OfType[Layer.Aux[Input0, OutputType#Batch], Input0, OutputType]]`
`16`	`16`	`}`
`17`	`17`