Packages

p

lamp.data

schemas

package schemas

Ordering
  1. Alphabetic
Visibility
  1. Public
  2. Protected

Type Members

  1. case class ByteSegmentEncoding(encoding: Vector[(Vector[Byte], Int)], unknownToken: Int, unknownByte: Byte) extends Product with Serializable
  2. sealed trait LoopState extends AnyRef
  3. 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
  4. 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
  5. case class SimpleThenSWALoopState(simple: SimpleLoopState, swa: Option[SWALoopState]) extends LoopState with Product with Serializable
  6. 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
  7. case class TensorList(tensors: Seq[TensorDescriptor], location: String, byteOffset: Long, byteLength: Long) extends Product with Serializable

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