Packages

  • package root
    Definition Classes
    root
  • package lamp

    Lamp provides utilities to build state of the art machine learning applications

    Lamp provides utilities to build state of the art machine learning applications

    Overview

    Notable types and packages:

    • lamp.STen is a memory managed wrapper around aten.ATen, an off the heap, native n-dimensionl array backed by libtorch.
    • lamp.autograd implements reverse mode automatic differentiation.
    • lamp.nn contains neural network building blocks, see e.g. lamp.nn.Linear.
    • lamp.data.IOLoops implements a training loop and other data related abstractions.
    • lamp.knn implements k-nearest neighbor search on the CPU and GPU
    • lamp.umap.Umap implements the UMAP dimension reduction algorithm
    • lamp.onnx implements serialization of computation graphs into ONNX format
    • lamp.io contains CSV and NPY readers
    How to get data into lamp

    Use one of the file readers in lamp.io or one of the factories in lamp.STen$.

    How to define a custom neural network layer

    See the documentation on lamp.nn.GenericModule

    How to compose neural network layers

    See the documentation on lamp.nn

    How to train models

    See the training loops in lamp.data.IOLoops

    Definition Classes
    root
  • package data
    Definition Classes
    lamp
  • BufferPair
  • CPU
  • CudaDevice
  • Device
  • DoublePrecision
  • FloatingPointPrecision
  • HalfPrecision
  • Movable
  • STen
  • STenOptions
  • Scope
  • SinglePrecision
  • TensorHelpers

case class STenOptions(value: TensorOptions) extends Product with Serializable

Linear Supertypes
Serializable, Product, Equals, AnyRef, Any
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Inherited
  1. STenOptions
  2. Serializable
  3. Product
  4. Equals
  5. AnyRef
  6. Any
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Visibility
  1. Public
  2. Protected

Instance Constructors

  1. new STenOptions(value: TensorOptions)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##: Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native() @IntrinsicCandidate()
  6. def cpu[S](implicit arg0: Sc[S]): STenOptions

    Returns a copy with device set to CPU

  7. def cuda[S](implicit arg0: Sc[S]): STenOptions

    Returns a copy with device set to cuda:0

  8. def cudaIndex[S](index: Short)(implicit arg0: Sc[S]): STenOptions

    Returns a copy with device set to cuda with index

  9. def deviceIndex: Int
  10. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  11. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @IntrinsicCandidate()
  12. def isByte: Boolean
  13. def isCPU: Boolean
  14. def isCuda: Boolean
  15. def isDouble: Boolean
  16. def isFloat: Boolean
  17. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  18. def isLong: Boolean
  19. def isSparse: Boolean
  20. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  21. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @IntrinsicCandidate()
  22. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @IntrinsicCandidate()
  23. def productElementNames: Iterator[String]
    Definition Classes
    Product
  24. def scalarTypeByte: Byte

    Returns the byte representation of dtype

    Returns the byte representation of dtype

    0 - byte, 1 - char 2 - short 3 - int 4 - long, 5 - half 6 - float, 7 - double, 8 - complex half 9 - complex float 10 - complex double 11 - bool 15 - bfloat16 12,13,14,16 - quantized ints

  25. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  26. def toByte[S](implicit arg0: Sc[S]): STenOptions

    Returns a copy with dtype set to a value compatible with Scala's Byte

  27. def toDouble[S](implicit arg0: Sc[S]): STenOptions

    Returns a copy with dtype set to double

  28. def toFloat[S](implicit arg0: Sc[S]): STenOptions

    Returns a copy with dtype set to float

  29. def toLong[S](implicit arg0: Sc[S]): STenOptions

    Returns a copy with dtype set to long

  30. val value: TensorOptions
  31. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  32. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  33. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable]) @Deprecated
    Deprecated

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

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