tensorflow::ops::ResourceApplyFtrl

#include <training_ops.h>

Update '*var' according to the Ftrl-proximal scheme.

Summary

accum_new = accum + grad * grad linear += grad - (accum_new^(-lr_power) - accum^(-lr_power)) / lr * var quadratic = 1.0 / (accum_new^(lr_power) * lr) + 2 * l2 var = (sign(linear) * l1 - linear) / quadratic if |linear| > l1 else 0.0 accum = accum_new

Args:

  • scope: A Scope object
  • var: Should be from a Variable().
  • accum: Should be from a Variable().
  • linear: Should be from a Variable().
  • grad: The gradient.
  • lr: Scaling factor. Must be a scalar.
  • l1: L1 regularization. Must be a scalar.
  • l2: L2 regularization. Must be a scalar.
  • lr_power: Scaling factor. Must be a scalar.

Optional attributes (see Attrs):

  • use_locking: 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.

Returns:

Constructors and Destructors
ResourceApplyFtrl(const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input accum, ::tensorflow::Input linear, ::tensorflow::Input grad, ::tensorflow::Input lr, ::tensorflow::Input l1, ::tensorflow::Input l2, ::tensorflow::Input lr_power)
ResourceApplyFtrl(const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input accum, ::tensorflow::Input linear, ::tensorflow::Input grad, ::tensorflow::Input lr, ::tensorflow::Input l1, ::tensorflow::Input l2, ::tensorflow::Input lr_power, const ResourceApplyFtrl::Attrs & attrs)

Public attributes
operation

Public functions
operator::tensorflow::Operation() const

Public static functions
MultiplyLinearByLr(bool x)
UseLocking(bool x)

Structs
tensorflow::ops::ResourceApplyFtrl::Attrs

Optional attribute setters for ResourceApplyFtrl.

Public attributes

operation

Operation operation

Public functions

ResourceApplyFtrl

 ResourceApplyFtrl(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input accum,
  ::tensorflow::Input linear,
  ::tensorflow::Input grad,
  ::tensorflow::Input lr,
  ::tensorflow::Input l1,
  ::tensorflow::Input l2,
  ::tensorflow::Input lr_power
)

ResourceApplyFtrl

 ResourceApplyFtrl(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input accum,
  ::tensorflow::Input linear,
  ::tensorflow::Input grad,
  ::tensorflow::Input lr,
  ::tensorflow::Input l1,
  ::tensorflow::Input l2,
  ::tensorflow::Input lr_power,
  const ResourceApplyFtrl::Attrs & attrs
)

operator::tensorflow::Operation

 operator::tensorflow::Operation() const

Public static functions

MultiplyLinearByLr

Attrs MultiplyLinearByLr(
  bool x
)

UseLocking

Attrs UseLocking(
  bool x
)