tensorflow::ops::ApplyDelayCompensatedGradientDescent

#include <training_ops.h>

var -= alpha * (delta + lambda * delta * (var - shadow))

Summary

Update '*shadow' by changing it to the new value of 'var'

Arguments:

  • scope: A Scope object
  • var: Should be from a Variable().
  • alpha: Scaling factor. Must be a scalar.
  • delta: The change.
  • lambda: The variance parameter.
  • shadow: Same as "var".

Optional attributes (see Attrs):

  • use_locking: If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.

Returns:

Constructors and Destructors

ApplyDelayCompensatedGradientDescent(const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input alpha, ::tensorflow::Input delta, ::tensorflow::Input lambda, ::tensorflow::Input shadow)
ApplyDelayCompensatedGradientDescent(const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input alpha, ::tensorflow::Input delta, ::tensorflow::Input lambda, ::tensorflow::Input shadow, const ApplyDelayCompensatedGradientDescent::Attrs & attrs)

Public attributes

operation

Public functions

operator::tensorflow::Operation() const

Public static functions

UseLocking(bool x)

Structs

tensorflow::ops::ApplyDelayCompensatedGradientDescent::Attrs

Optional attribute setters for ApplyDelayCompensatedGradientDescent.

Public attributes

operation

Operation operation

Public functions

ApplyDelayCompensatedGradientDescent

 ApplyDelayCompensatedGradientDescent(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input alpha,
  ::tensorflow::Input delta,
  ::tensorflow::Input lambda,
  ::tensorflow::Input shadow
)

ApplyDelayCompensatedGradientDescent

 ApplyDelayCompensatedGradientDescent(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input alpha,
  ::tensorflow::Input delta,
  ::tensorflow::Input lambda,
  ::tensorflow::Input shadow,
  const ApplyDelayCompensatedGradientDescent::Attrs & attrs
)

operator::tensorflow::Operation

 operator::tensorflow::Operation() const 

Public static functions

UseLocking

Attrs UseLocking(
  bool x
)