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class Yogi extends Optimizer

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  2. Optimizer
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Visibility
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Instance Constructors

  1. new Yogi(learningRate: Float = 0.001f, decay: Schedule[Float] = FixedSchedule[Float](), weightDecay: Float = 0.0f, excludeFromWeightDecayNames: Set[String] = Set.empty, beta1: Float = 0.9f, beta2: Float = 0.999f, useNesterov: Boolean = false, epsilon: Float = 1e-8f, useLocking: Boolean = false, learningRateSummaryTag: String = null, name: String = "Yogi")
    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
    YogiOptimizer
  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$1[IllegalArgumentException])
  6. def applySparse[T, I](gradient: OutputIndexedSlices[T], variable: variables.Variable[T], iteration: Option[variables.Variable[I]])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): UntypedOp
    Definition Classes
    YogiOptimizer
  7. def applySparseDuplicateIndices[T, I](gradient: OutputIndexedSlices[T], variable: variables.Variable[T], iteration: Option[variables.Variable[I]])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): UntypedOp
    Definition Classes
    Optimizer
  8. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  9. val beta1: Float
  10. var beta1Tensor: Output[Float]
    Attributes
    protected
  11. val beta2: Float
  12. var beta2Tensor: Output[Float]
    Attributes
    protected
  13. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
  14. def computeGradients[T](loss: Output[T], lossGradients: Seq[OutputLike[T]] = null, variables: Set[variables.Variable[Any]] = null, gradientsGatingMethod: GatingMethod = Gradients.OpGating, gradientsAggregationMethod: AggregationMethod = Gradients.AddAggregationMethod, colocateGradientsWithOps: Boolean = false)(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): Seq[(OutputLike[T], variables.Variable[Any])]
    Definition Classes
    Optimizer
    Annotations
    @throws(scala.this.throws.<init>$default$1[IllegalArgumentException])
  15. def createSlots(variables: Seq[variables.Variable[Any]]): Unit
    Definition Classes
    YogiOptimizer
  16. val decay: Schedule[Float]
  17. def doWeightDecay[V](variable: variables.Variable[V])(implicit arg0: core.types.TF[V]): Boolean
    Attributes
    protected
  18. val epsilon: Float
  19. var epsilonTensor: Output[Float]
    Attributes
    protected
  20. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  21. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  22. val excludeFromWeightDecayNames: Set[String]
  23. def finish(updateOps: Set[UntypedOp], nameScope: String): UntypedOp
    Definition Classes
    YogiOptimizer
  24. def getBeta1[V](variable: variables.Variable[V])(implicit arg0: core.types.TF[V]): Output[V]
    Attributes
    protected
  25. def getBeta2[V](variable: variables.Variable[V])(implicit arg0: core.types.TF[V]): Output[V]
    Attributes
    protected
  26. def getBetaPowerAccumulators: (variables.Variable[Float], variables.Variable[Float])
    Attributes
    protected
  27. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  28. def getEpsilon[V](variable: variables.Variable[V])(implicit arg0: core.types.TF[V]): Output[V]
    Attributes
    protected
  29. def getLearningRate[V, I](variable: variables.Variable[V], iteration: Option[variables.Variable[I]])(implicit arg0: core.types.TF[V], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Output[V]
    Attributes
    protected
  30. final def getNonSlotVariable[T](name: String, graph: core.Graph = null): variables.Variable[T]
    Attributes
    protected
    Definition Classes
    Optimizer
  31. final def getNonSlotVariables: Iterable[variables.Variable[Any]]
    Attributes
    protected
    Definition Classes
    Optimizer
  32. 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
  33. 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
  34. 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
  35. def getWeightDecay[V](variable: variables.Variable[V])(implicit arg0: core.types.TF[V]): Output[V]
    Attributes
    protected
  36. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  37. val ignoreDuplicateSparseIndices: Boolean
    Definition Classes
    YogiOptimizer
  38. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  39. val learningRate: Float
  40. val learningRateSummaryTag: String
  41. var learningRateTensor: Output[Float]
    Attributes
    protected
  42. 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])
  43. val name: String
    Definition Classes
    YogiOptimizer
  44. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  45. final val nonSlotVariables: Map[(String, Option[core.Graph]), variables.Variable[Any]]
    Attributes
    protected
    Definition Classes
    Optimizer
  46. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  47. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  48. def prepare[I](iteration: Option[variables.Variable[I]])(implicit arg0: core.types.TF[I], arg1: core.types.IsIntOrLong[I]): Unit
    Definition Classes
    YogiOptimizer
  49. final def slotNames: Set[String]
    Attributes
    protected
    Definition Classes
    Optimizer
  50. final val slots: Map[String, Map[variables.Variable[Any], variables.Variable[Any]]]
    Attributes
    protected
    Definition Classes
    Optimizer
  51. final def state: Seq[variables.Variable[Any]]
    Definition Classes
    Optimizer
  52. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  53. def toString(): String
    Definition Classes
    AnyRef → Any
  54. val useLocking: Boolean
    Definition Classes
    YogiOptimizer
  55. val useNesterov: Boolean
  56. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  57. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  58. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  59. val weightDecay: Float
  60. var weightDecayTensor: Output[Float]
    Attributes
    protected
  61. 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.

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