Class ResourceApplyFtrl.Inputs<T extends TType>

java.lang.Object
org.tensorflow.op.RawOpInputs<ResourceApplyFtrl>
org.tensorflow.op.train.ResourceApplyFtrl.Inputs<T>
Enclosing class:
ResourceApplyFtrl

public static class ResourceApplyFtrl.Inputs<T extends TType> extends RawOpInputs<ResourceApplyFtrl>
  • Field Details

    • var

      public final Operand<? extends TType> var
      Should be from a Variable().
    • accum

      public final Operand<? extends TType> accum
      Should be from a Variable().
    • linear

      public final Operand<? extends TType> linear
      Should be from a Variable().
    • grad

      public final Operand<T extends TType> grad
      The gradient.
    • lr

      public final Operand<T extends TType> lr
      Scaling factor. Must be a scalar.
    • l1

      public final Operand<T extends TType> l1
      L1 regularization. Must be a scalar.
    • l2

      public final Operand<T extends TType> l2
      L2 shrinkage regularization. Must be a scalar.
    • l2Shrinkage

      public final Operand<T extends TType> l2Shrinkage
      The l2Shrinkage input
    • lrPower

      public final Operand<T extends TType> lrPower
      Scaling factor. Must be a scalar.
    • T

      public final DataType T
      The T attribute
    • useLocking

      public final boolean useLocking
      If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
    • multiplyLinearByLr

      public final boolean multiplyLinearByLr
      The multiplyLinearByLr attribute
  • Constructor Details