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tensorflow:: ops:: ResourceApplyAdagradDA

#include <training_ops.h>

Update '*var' according to the proximal adagrad scheme.

Summary

Args:

  • scope: A Scope object
  • var: Should be from a Variable().
  • gradient_accumulator: Should be from a Variable().
  • gradient_squared_accumulator: 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.
  • global_step: Training step number. 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

ResourceApplyAdagradDA (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input gradient_accumulator, :: tensorflow::Input gradient_squared_accumulator, :: tensorflow::Input grad, :: tensorflow::Input lr, :: tensorflow::Input l1, :: tensorflow::Input l2, :: tensorflow::Input global_step)
ResourceApplyAdagradDA (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input gradient_accumulator, :: tensorflow::Input gradient_squared_accumulator, :: tensorflow::Input grad, :: tensorflow::Input lr, :: tensorflow::Input l1, :: tensorflow::Input l2, :: tensorflow::Input global_step, const ResourceApplyAdagradDA::Attrs & attrs)

Public attributes

operation

Public functions

operator::tensorflow::Operation () const

Public static functions

UseLocking (bool x)

Structs

tensorflow:: ops:: ResourceApplyAdagradDA:: Attrs

Optional attribute setters for ResourceApplyAdagradDA .

Public attributes

operation

Operation operation

Public functions

ResourceApplyAdagradDA

 ResourceApplyAdagradDA(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input gradient_accumulator,
  ::tensorflow::Input gradient_squared_accumulator,
  ::tensorflow::Input grad,
  ::tensorflow::Input lr,
  ::tensorflow::Input l1,
  ::tensorflow::Input l2,
  ::tensorflow::Input global_step
)

ResourceApplyAdagradDA

 ResourceApplyAdagradDA(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input gradient_accumulator,
  ::tensorflow::Input gradient_squared_accumulator,
  ::tensorflow::Input grad,
  ::tensorflow::Input lr,
  ::tensorflow::Input l1,
  ::tensorflow::Input l2,
  ::tensorflow::Input global_step,
  const ResourceApplyAdagradDA::Attrs & attrs
)

operator::tensorflow::Operation

 operator::tensorflow::Operation() const 

Public static functions

UseLocking

Attrs UseLocking(
  bool x
)