package schemas
Ordering
- Alphabetic
Visibility
- Public
- Protected
Type Members
- case class ByteSegmentEncoding(encoding: Vector[(Vector[Byte], Int)], unknownToken: Int, unknownByte: Byte) extends Product with Serializable
- sealed trait LoopState extends AnyRef
- case class SWALoopState(model: TensorList, optimizer: TensorList, epoch: Int, lastValidationLoss: Option[Double], minValidationLoss: Option[Double], numberOfAveragedModels: Int, averagedModels: Option[TensorList], learningCurve: List[(Int, Double, Option[Double])]) extends LoopState with Product with Serializable
- case class SimpleLoopState(model: TensorList, optimizer: TensorList, epoch: Int, lastValidationLoss: Option[Double], minValidationLoss: Option[Double], minValidationLossModel: Option[(Int, TensorList)], learningCurve: List[(Int, Double, Option[Double], Option[Double])]) extends LoopState with Product with Serializable
- case class SimpleThenSWALoopState(simple: SimpleLoopState, swa: Option[SWALoopState]) extends LoopState with Product with Serializable
- case class TensorDescriptor(dims: Seq[Long], dataType: Byte, byteOffset: Long, byteLength: Long) extends Product with Serializable
dataType is pytorch scalartype:
dataType is pytorch scalartype:
- 1 I8
- 2 I16
- 3 I32
- 4 I64
- 5 FP16
- 6 FP32
- 7 FP64
- 11 bool
- 16 BF16
- case class TensorList(tensors: Seq[TensorDescriptor], location: String, byteOffset: Long, byteLength: Long) extends Product with Serializable
Value Members
- object ByteSegmentEncoding extends Serializable
- object LearningRateScheduleSchemas
- object LoopState
- object TensorDescriptor extends Serializable
- object TensorList extends Serializable