SupervisedModel
case class SupervisedModel[I, M <: GenericModule[I, Variable]](module: M & GenericModule[I, Variable], lossFunction: LossFunction, lossCalculation: LossCalculation[I], printMemoryAllocations: Boolean)(implicit tm: TrainingMode[M])
trait Serializable
trait Product
trait Equals
class Object
trait Matchable
class Any
Value members
Concrete methods
def addTotalLossAndReturnGradientsAndNumExamples(samples: I, target: STen, acc: STen, zeroGrad: Boolean): (Long, Seq[Option[STen]])