Disable dropout training mode

Author: EmergentOrder

core/src/main/scala/ONNX.scala

@@ -21,6 +21,8 @@ import org.emergentorder.compiletime.TensorShapeDenotation.Reverse
 import org.emergentorder.compiletime.TensorShapeDenotation.Concat
 import scala.collection.immutable.ArraySeq
 
+//TODO: replace use of Option/None with default params
+
 //ONNX domain: ai.onnx(default)
 //Only the ops which are supported in both ONNX Runtime and ONNX.js
 //See: https://github.com/onnx/onnx/blob/v1.8.1/docs/Operators.md#aionnx-default
@@ -346,6 +348,7 @@ package object onnx {
   }
 
   //Missing optional second output
+  //Training mode not exposed
   trait DropoutV12 extends Operator {
     def DropoutV12[
         @sp T <: Float16 | Float | Double: Numeric,
@@ -355,11 +358,11 @@ package object onnx {
         name: String,
         seed: Int = 42,
         data: Tensor[T, Tuple3[Tt,Td,S]],
-        ratio: Option[Tensor[T1,Tuple3[Tt1,Td1,S1]]] = None,
+        ratio: Tensor[T1,Tuple3[Tt1,Td1,S1]] = Tensor(Array(0.5f), SNil),
         training_mode: Option[Tensor[T2, Tuple3[Tt2,Td2,S2]]] = None
     )(using tt: ValueOf[Tt], td: TensorShapeDenotationOf[Td], s: ShapeOf[S]): Tensor[T, Tuple3[Tt,Td,S]] = {
       val map: Map[String, Any] = Map("seed" -> seed)
-      val allInputs             = Tuple3(data, ratio, training_mode)
+      val allInputs             = Tuple2(data, ratio) //, training_mode)
       (callOp(name, "Dropout", allInputs, map))
     }
   }