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class Adafactor extends Optimizer

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  1. Adafactor
  2. Optimizer
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Instance Constructors

  1. new Adafactor(learningRate: Option[Float] = None, decayRate: Option[Float] = None, decay: Schedule[Float] = FixedSchedule[Float](), multiplyByParameterScale: Boolean = true, beta1: Float = 0.0f, clippingThreshold: Option[Float] = Some(1.0f), factored: Boolean = true, epsilon1: Float = 1e-30f, epsilon2: Float = 1e-3f, useLocking: Boolean = false, learningRateSummaryTag: String = null, name: String = "Adafactor")
    Attributes
    protected

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. def applyDense[T, I](gradient: Output[T], variable: variables.Variable[T], iteration: Option[variables.Variable[I]])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): UntypedOp
    Definition Classes
    AdafactorOptimizer
  5. def applyGradients[T, I](gradientsAndVariables: Seq[(OutputLike[T], variables.Variable[Any])], iteration: Option[variables.Variable[I]] = None, name: String = this.name)(implicit arg0: core.types.TF[T], arg1: LongDefault[I], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): UntypedOp
    Definition Classes
    Optimizer
    Annotations
    @throws(scala.this.throws.<init>$default$1[IllegalArgumentException])
  6. def applySparse[T, I](gradient: OutputIndexedSlices[T], variable: variables.Variable[T], iteration: Option[variables.Variable[I]])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): UntypedOp
    Definition Classes
    AdafactorOptimizer
  7. def applySparseDuplicateIndices[T, I](gradient: OutputIndexedSlices[T], variable: variables.Variable[T], iteration: Option[variables.Variable[I]])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): UntypedOp
    Definition Classes
    Optimizer
  8. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  9. val beta1: Float
  10. var beta1Tensor: Output[Float]
    Attributes
    protected
  11. val clippingThreshold: Option[Float]
  12. var clippingThresholdTensor: Option[Output[Float]]
    Attributes
    protected
  13. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
  14. def computeGradients[T](loss: Output[T], lossGradients: Seq[OutputLike[T]] = null, variables: Set[variables.Variable[Any]] = null, gradientsGatingMethod: GatingMethod = Gradients.OpGating, gradientsAggregationMethod: AggregationMethod = Gradients.AddAggregationMethod, colocateGradientsWithOps: Boolean = false)(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): Seq[(OutputLike[T], variables.Variable[Any])]
    Definition Classes
    Optimizer
    Annotations
    @throws(scala.this.throws.<init>$default$1[IllegalArgumentException])
  15. def createSlots(variables: Seq[variables.Variable[Any]]): Unit
    Definition Classes
    AdafactorOptimizer
  16. val decay: Schedule[Float]
  17. val decayRate: Option[Float]
  18. var decayRateTensor: Output[Float]
    Attributes
    protected
  19. val epsilon1: Float
  20. var epsilon1Tensor: Output[Float]
    Attributes
    protected
  21. val epsilon2: Float
  22. var epsilon2Tensor: Output[Float]
    Attributes
    protected
  23. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  24. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  25. val factored: Boolean
  26. def finish(updateOps: Set[UntypedOp], nameScope: String): UntypedOp
    Definition Classes
    Optimizer
  27. def getBeta1: Output[Float]
    Attributes
    protected
  28. def getBetaPowerAccumulators: (variables.Variable[Float], variables.Variable[Float])
    Attributes
    protected
  29. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  30. def getDecayRate: Output[Float]
    Attributes
    protected
  31. def getEpsilon1: Output[Float]
    Attributes
    protected
  32. def getEpsilon2: Output[Float]
    Attributes
    protected
  33. def getLearningRate: Output[Float]
    Attributes
    protected
  34. final def getNonSlotVariable[T](name: String, graph: core.Graph = null): variables.Variable[T]
    Attributes
    protected
    Definition Classes
    Optimizer
  35. final def getNonSlotVariables: Iterable[variables.Variable[Any]]
    Attributes
    protected
    Definition Classes
    Optimizer
  36. final def getOrCreateNonSlotVariable[T](name: String, initialValue: tensors.Tensor[T], colocationOps: Set[UntypedOp] = Set.empty, ignoreExisting: Boolean = false)(implicit arg0: core.types.TF[T]): variables.Variable[T]
    Attributes
    protected
    Definition Classes
    Optimizer
  37. final def getSlot[T, R](name: String, variable: variables.Variable[T])(implicit arg0: core.types.TF[R]): variables.Variable[R]
    Attributes
    protected
    Definition Classes
    Optimizer
  38. final def getSlot[T, R](name: String, variable: variables.Variable[T], dataType: core.types.DataType[R], initializer: Initializer, shape: core.Shape, variableScope: String)(implicit arg0: core.types.TF[R]): variables.Variable[R]
    Attributes
    protected
    Definition Classes
    Optimizer
  39. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  40. val ignoreDuplicateSparseIndices: Boolean
    Definition Classes
    AdafactorOptimizer
  41. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  42. val learningRate: Option[Float]
  43. val learningRateSummaryTag: String
  44. var learningRateTensor: Output[Float]
    Attributes
    protected
  45. def minimize[T, I](loss: Output[T], lossGradients: Seq[OutputLike[T]] = null, variables: Set[variables.Variable[Any]] = null, gradientsGatingMethod: GatingMethod = Gradients.OpGating, gradientsAggregationMethod: AggregationMethod = Gradients.AddAggregationMethod, colocateGradientsWithOps: Boolean = false, iteration: Option[variables.Variable[I]] = None, name: String = "Minimize")(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T], arg2: LongDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): UntypedOp
    Definition Classes
    Optimizer
    Annotations
    @throws(scala.this.throws.<init>$default$1[IllegalArgumentException])
  46. val multiplyByParameterScale: Boolean
  47. val name: String
    Definition Classes
    AdafactorOptimizer
  48. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  49. final val nonSlotVariables: Map[(String, Option[core.Graph]), variables.Variable[Any]]
    Attributes
    protected
    Definition Classes
    Optimizer
  50. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  51. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  52. def prepare[I](iteration: Option[variables.Variable[I]])(implicit arg0: core.types.TF[I], arg1: core.types.IsIntOrLong[I]): Unit
    Definition Classes
    AdafactorOptimizer
  53. def shouldUseFactoredSecondMomentEstimate(variableShape: core.Shape): Boolean
    Attributes
    protected
  54. final def slotNames: Set[String]
    Attributes
    protected
    Definition Classes
    Optimizer
  55. final val slots: Map[String, Map[variables.Variable[Any], variables.Variable[Any]]]
    Attributes
    protected
    Definition Classes
    Optimizer
  56. final def state: Seq[variables.Variable[Any]]
    Definition Classes
    Optimizer
  57. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  58. def toString(): String
    Definition Classes
    AnyRef → Any
  59. val useLocking: Boolean
    Definition Classes
    AdafactorOptimizer
  60. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  61. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  62. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  63. final def zerosSlot[T](name: String, variable: variables.Variable[T], variableScope: String)(implicit arg0: core.types.TF[T]): variables.Variable[T]
    Attributes
    protected
    Definition Classes
    Optimizer

Deprecated Value Members

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

    (Since version ) see corresponding Javadoc for more information.

Inherited from Optimizer

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