lamp-data
API
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lamp-data/lamp.data/lamp.data.schemas

lamp.data.schemas

package lamp.data.schemas

Members list

Type members

Classlikes

case class ByteSegmentEncoding(encoding: Vector[(Vector[Byte], Int)], unknownToken: Int, unknownByte: Byte)

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trait Serializable
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object ByteSegmentEncoding

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object LearningRateScheduleSchemas

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class Object
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sealed trait LoopState

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class Object
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Known subtypes
class SWALoopState
object LoopState

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LoopState.type
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

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trait Serializable
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trait LoopState
class Object
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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

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trait Serializable
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trait LoopState
class Object
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case class SimpleThenSWALoopState(simple: SimpleLoopState, swa: Option[SWALoopState]) extends LoopState

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trait Serializable
trait Product
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trait LoopState
class Object
trait Matchable
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case class TensorDescriptor(dims: Seq[Long], dataType: Byte, byteOffset: Long, byteLength: Long)

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

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object TensorDescriptor

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case class TensorList(tensors: Seq[TensorDescriptor], location: String, byteOffset: Long, byteLength: Long)

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object TensorList

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TensorList.type
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