Packages

class LazyAMSGrad extends AMSGrad

Linear Supertypes
AMSGrad, Optimizer, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. LazyAMSGrad
  2. AMSGrad
  3. Optimizer
  4. AnyRef
  5. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new LazyAMSGrad(learningRate: Float = 0.001f, decay: Schedule[Float] = FixedSchedule[Float](), beta1: Float = 0.9f, beta2: Float = 0.999f, useNesterov: Boolean = false, epsilon: Float = 1e-8f, useLocking: Boolean = false, learningRateSummaryTag: String = null, name: String = "LazyAMSGrad")
    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
    AMSGrad → Optimizer
  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( ... )
  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
    LazyAMSGrad → AMSGrad → Optimizer
  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
    Definition Classes
    LazyAMSGrad → AMSGrad
  10. var beta1Tensor: Output[Float]
    Attributes
    protected
    Definition Classes
    AMSGrad
  11. val beta2: Float
    Definition Classes
    LazyAMSGrad → AMSGrad
  12. var beta2Tensor: Output[Float]
    Attributes
    protected
    Definition Classes
    AMSGrad
  13. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  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( ... )
  15. def createSlots(variables: Seq[variables.Variable[Any]]): Unit
    Definition Classes
    AMSGrad → Optimizer
  16. val decay: Schedule[Float]
    Definition Classes
    LazyAMSGrad → AMSGrad
  17. val epsilon: Float
    Definition Classes
    LazyAMSGrad → AMSGrad
  18. var epsilonTensor: Output[Float]
    Attributes
    protected
    Definition Classes
    AMSGrad
  19. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  20. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  21. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  22. def finish(updateOps: Set[UntypedOp], nameScope: String): UntypedOp
    Definition Classes
    AMSGrad → Optimizer
  23. def getBeta1[V](variable: variables.Variable[V])(implicit arg0: core.types.TF[V]): Output[V]
    Attributes
    protected
    Definition Classes
    AMSGrad
  24. def getBeta2[V](variable: variables.Variable[V])(implicit arg0: core.types.TF[V]): Output[V]
    Attributes
    protected
    Definition Classes
    AMSGrad
  25. def getBetaPowerAccumulators: (variables.Variable[Float], variables.Variable[Float])
    Attributes
    protected
    Definition Classes
    AMSGrad
  26. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  27. def getEpsilon[V](variable: variables.Variable[V])(implicit arg0: core.types.TF[V]): Output[V]
    Attributes
    protected
    Definition Classes
    AMSGrad
  28. 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
    Definition Classes
    AMSGrad
  29. final def getNonSlotVariable[T](name: String, graph: core.Graph = null)(implicit arg0: core.types.TF[T]): variables.Variable[T]
    Attributes
    protected
    Definition Classes
    Optimizer
  30. final def getNonSlotVariables: Iterable[variables.Variable[Any]]
    Attributes
    protected
    Definition Classes
    Optimizer
  31. 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
  32. final def getSlot[T, R](name: String, variable: variables.Variable[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[R]): variables.Variable[R]
    Attributes
    protected
    Definition Classes
    Optimizer
  33. 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[T], arg1: core.types.TF[R]): variables.Variable[R]
    Attributes
    protected
    Definition Classes
    Optimizer
  34. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  35. val ignoreDuplicateSparseIndices: Boolean
    Definition Classes
    LazyAMSGrad → AMSGrad → Optimizer
  36. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  37. val learningRate: Float
    Definition Classes
    LazyAMSGrad → AMSGrad
  38. val learningRateSummaryTag: String
    Definition Classes
    LazyAMSGrad → AMSGrad
  39. var learningRateTensor: Output[Float]
    Attributes
    protected
    Definition Classes
    AMSGrad
  40. 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( ... )
  41. val name: String
    Definition Classes
    LazyAMSGrad → AMSGrad → Optimizer
  42. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  43. final val nonSlotVariables: Map[(String, Option[core.Graph]), variables.Variable[Any]]
    Attributes
    protected
    Definition Classes
    Optimizer
  44. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  45. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  46. def prepare[I](iteration: Option[variables.Variable[I]])(implicit arg0: core.types.TF[I], arg1: core.types.IsIntOrLong[I]): Unit
    Definition Classes
    AMSGrad → Optimizer
  47. final def slotNames: Set[String]
    Attributes
    protected
    Definition Classes
    Optimizer
  48. final val slots: Map[String, Map[variables.Variable[Any], variables.Variable[Any]]]
    Attributes
    protected
    Definition Classes
    Optimizer
  49. final def state: Seq[variables.Variable[Any]]
    Definition Classes
    Optimizer
  50. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  51. def toString(): String
    Definition Classes
    AnyRef → Any
  52. val useLocking: Boolean
    Definition Classes
    LazyAMSGrad → AMSGrad → Optimizer
  53. val useNesterov: Boolean
    Definition Classes
    LazyAMSGrad → AMSGrad
  54. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  55. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  56. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  57. 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

Inherited from AMSGrad

Inherited from Optimizer

Inherited from AnyRef

Inherited from Any

Ungrouped