tensorflow::ops::ResourceApplyAddSign

#include <training_ops.h>

Update '*var' according to the AddSign update.

Summary

m_t

Arguments:

• scope: A Scope object
• var: Should be from a Variable().
• m: Should be from a Variable().
• lr: Scaling factor. Must be a scalar.
• alpha: Must be a scalar.
• sign_decay: Must be a scalar.
• beta: Must be a scalar.
• grad: The gradient.

Optional attributes (see Attrs):

• use_locking: If True, updating of the var and m tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.

Returns:

• the created Operation

Public attributes

Operation operation

Public functions

 ResourceApplyAddSign(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input m,
  ::tensorflow::Input lr,
  ::tensorflow::Input alpha,
  ::tensorflow::Input sign_decay,
  ::tensorflow::Input beta,
  ::tensorflow::Input grad
)

 ResourceApplyAddSign(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input m,
  ::tensorflow::Input lr,
  ::tensorflow::Input alpha,
  ::tensorflow::Input sign_decay,
  ::tensorflow::Input beta,
  ::tensorflow::Input grad,
  const ResourceApplyAddSign::Attrs & attrs
)

operator::tensorflow::Operation() const 

Public static functions

Attrs UseLocking(
  bool x
)